Urban 8k Audio Classification Project

Dataset Description

This dataset contains 8732 labeled sound excerpts (<=4s) of urban sounds from 10 classes: air_conditioner, car_horn, children_playing, dog_bark, drilling, enginge_idling, gun_shot, jackhammer, siren, and street_music. The classes are drawn from the urban sound taxonomy. For a detailed description of the dataset and how it was compiled please refer to our paper. All excerpts are taken from field recordings uploaded to www.freesound.org. The files are pre-sorted into ten folds (folders named fold1-fold10) to help in the reproduction of and comparison with the automatic classification results reported in the article above.

In addition to the sound excerpts, a CSV file containing metadata about each excerpt is also provided.

8732 audio files of urban sounds (see description above) in WAV format. The sampling rate, bit depth, and number of channels are the same as those of the original file uploaded to Freesound (and hence may vary from file to file).

Task Description

The Dataset contains 10 classes, we will do classification task on the audio file obtained.

A numeric identifier of the sound class:
0 = air_conditioner
1 = car_horn
2 = children_playing
3 = dog_bark
4 = drilling
5 = engine_idling
6 = gun_shot
7 = jackhammer
8 = siren
9 = street_music

How to get the Urban8K Dataset?

Just go to Urban8K Website and fill a simple form to download the dataset. Since the dataset is > 5GB in compressed form itself, it's better to copy the download link and directly !wget it to the colab and move to the drive for further use.

Code Block Below Downloads the Dataset and Unzips the tarball, this might take a while to download and unzip.

In [ ]:
!wget https://goo.gl/8hY5ER
!tar -xvf 8hY5ER -C ./

--2020-12-16 17:48:45--  https://goo.gl/8hY5ER
Resolving goo.gl (goo.gl)... 64.233.170.102, 64.233.170.113, 64.233.170.101, ...
Connecting to goo.gl (goo.gl)|64.233.170.102|:443... connected.
HTTP request sent, awaiting response... 302 Found
Location: https://zenodo.org/record/1203745/files/UrbanSound8K.tar.gz [following]
--2020-12-16 17:48:46--  https://zenodo.org/record/1203745/files/UrbanSound8K.tar.gz
Resolving zenodo.org (zenodo.org)... 137.138.76.77
Connecting to zenodo.org (zenodo.org)|137.138.76.77|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 6023741708 (5.6G) [application/octet-stream]
Saving to: ‘8hY5ER’

8hY5ER              100%[===================>]   5.61G  7.08MB/s    in 10m 55s 

2020-12-16 17:59:42 (8.77 MB/s) - ‘8hY5ER’ saved [6023741708/6023741708]

tar: .: Not found in archive
tar: Exiting with failure status due to previous errors
  • Mount Google Drive, Create a Folder named Urban8KZip in it.
  • Copy the unzipped urban8kzipped contents to the Urban8KZip Directory
In [ ]:
from google.colab import drive
drive.mount('/content/drive')

Mounted at /content/drive
In [ ]:
!mkdir /content/drive/MyDrive/Urban8KZip
!cp ./urban8kzipped /content/drive/MyDrive/Urban8KZip

In case running notebook again,

If you do run notebook again there is no reason to download dataset again and move to drive, just mount the drive and copy the content from the Urban8KZip folder to the colab.

Run this next cell if running the notebook again, Don't run the above cell and downloading cells(in starting), just mount the colab and run the next cell.

In [ ]:
!tar -xvf /content/drive/MyDrive/Urban8KZip/urban8kzipped -C ./

Streaming output truncated to the last 5000 lines.
UrbanSound8K/audio/fold4/17480-2-0-6.wav
UrbanSound8K/audio/fold4/17480-2-0-9.wav
UrbanSound8K/audio/fold4/175904-2-0-11.wav
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UrbanSound8K/audio/fold9/87562-6-0-0.wav
UrbanSound8K/audio/fold9/94182-9-0-0.wav
UrbanSound8K/audio/fold9/94182-9-0-10.wav
UrbanSound8K/audio/fold9/94182-9-0-16.wav
UrbanSound8K/audio/fold9/94182-9-0-20.wav
UrbanSound8K/audio/fold9/94182-9-0-23.wav
UrbanSound8K/audio/fold9/94182-9-0-25.wav
UrbanSound8K/audio/fold9/94182-9-0-9.wav
UrbanSound8K/audio/fold9/96921-9-0-1.wav
UrbanSound8K/audio/fold9/96921-9-0-11.wav
UrbanSound8K/audio/fold9/96921-9-0-17.wav
UrbanSound8K/audio/fold9/96921-9-0-18.wav
UrbanSound8K/audio/fold9/96921-9-0-4.wav
UrbanSound8K/audio/fold9/96921-9-0-9.wav
UrbanSound8K/audio/fold9/98859-7-0-0.wav
UrbanSound8K/audio/fold9/98859-7-1-0.wav
UrbanSound8K/audio/fold9/98859-7-2-0.wav
UrbanSound8K/audio/fold9/98859-7-2-1.wav
UrbanSound8K/audio/fold9/98859-7-2-2.wav
UrbanSound8K/audio/fold9/98859-7-2-3.wav
UrbanSound8K/audio/fold9/98859-7-2-4.wav
UrbanSound8K/audio/fold9/98859-7-2-5.wav
UrbanSound8K/audio/fold9/99500-2-0-1.wav
UrbanSound8K/audio/fold9/99500-2-0-11.wav
UrbanSound8K/audio/fold9/99500-2-0-2.wav
UrbanSound8K/audio/fold9/99500-2-0-23.wav
UrbanSound8K/audio/fold9/99500-2-0-29.wav
UrbanSound8K/audio/fold9/99500-2-0-39.wav
UrbanSound8K/audio/fold9/99500-2-0-41.wav
UrbanSound8K/audio/fold9/99500-2-0-50.wav
UrbanSound8K/FREESOUNDCREDITS.txt
UrbanSound8K/metadata/
UrbanSound8K/metadata/.DS_Store
UrbanSound8K/metadata/UrbanSound8K.csv
UrbanSound8K/UrbanSound8K_README.txt

Data Analysis, Exploration and Visualizations

Some Information About Dataset.

This dataset has audio belonging to 10 classes, unlike images Audio data is different, it's similar in some senses but there are certain differences which are unique to audio data.

Before even using audio file dataset, the first challenge in itself is that audio files are continous data and our computers can only store discrete data, so in what way we digitize it such that we can easily store.

Apparently the solution is that we figure out a way that is discrete yet continous. Sounds misleading but what we do is we instead of storing continous value, we just sample it at fixed durations like 0.2 second apart or less or more. We just sample it and the rate at which it is sampled is known as Sampling rate.

my img
Image Courtesy Analytics Vidhya

When we say we sample it, what are we actually doing?

We are recording the amplitude at that point.

  • So the audio data is nothing just the amplitude stored at regular intervals which mimic the original continous wave.

  • We take and store thousands of measurements per second. If we can take tons of measurements extremely quickly with enough possible amplitude values, we can effectively use these snapshots to reconstruct the resolution and complexity of an analog wave.

my img
Image Courtesy izotope
In [ ]:
import IPython.display as ipd #Allows Audio files to be played directly in the notebook
import librosa #library we will to analyze sounds
import librosa.display #library module which helps visualize the waves
In [ ]:
import os
import glob
import numpy as np
import pandas as pd
import random

import matplotlib.pyplot as plt
import seaborn as sns

sns.set_style("whitegrid")

Reading audio files

In [ ]:
audios = glob.glob(os.path.join("/content/UrbanSound8K/audio/*/*.wav"), recursive=True)

print(f"Total Audio Files : {len(audios)}")

Total Audio Files : 8732
In [ ]:
audios[:5] #Contains path of all audios
Out[ ]:
['/content/UrbanSound8K/audio/fold1/134717-0-0-20.wav',
 '/content/UrbanSound8K/audio/fold1/17592-5-1-2.wav',
 '/content/UrbanSound8K/audio/fold1/196087-2-0-0.wav',
 '/content/UrbanSound8K/audio/fold1/164053-8-3-0.wav',
 '/content/UrbanSound8K/audio/fold1/180937-7-1-10.wav']

Hit the play icon below and listen to the sound, try to remember the sound and the plot generated do it several times and try to pick up pattern yourself.

To read audio files, we will be using,

data, sample_rate = librosa.load(audio_path)

librosa by default reads the audio file at sr(sampling rate) = 22050, if you want your custom sampling here you can pass sr = your_rate in the librosa.load function

In [ ]:
plt.figure(figsize=(12,4))

play_audio = random.choice(audios)
data, sample_rate = librosa.load(play_audio)
librosa.display.waveplot(data)
plt.title("Sound")
ipd.Audio(play_audio)
Out[ ]:

If you managed to pick up patterns, you can see it becomes a visual problem as well. Just a thought.

In [ ]:
plt.figure(figsize=(12,4))
play_audio = random.choice(audios)
data, sample_rate = librosa.load(play_audio, sr=100)
librosa.display.waveplot(data)
plt.title("Sound")
ipd.Audio(play_audio)
Out[ ]:

Plotting same audio at different sampling rate

Higher the sampling rate, higher the crisp of plot because less error while trying to recreate original audio with higher number of samples and vice versa.

In [ ]:
fig, axs = plt.subplots(2,2, figsize=(15,12))
fig.suptitle("Sampling of Same Audio File With Different values")
axs = np.reshape(axs,-1)
play_audio = random.choice(audios)
srs = [100, 2000, 22050, 44100]
for ax,sr in zip(axs,srs):
  try:
    data, sample_rate = librosa.load(play_audio, sr=sr)
    librosa.display.waveplot(data, sr=sample_rate, ax=ax)
    ax.set_title(f"Sampling Rate {sr} Hz")
  except:
    print("Run Again Some Unknown Error")

ipd.Audio(play_audio)
Out[ ]:

Reading Metadata for the dataset

In [ ]:
metadata = pd.read_csv("/content/UrbanSound8K/metadata/UrbanSound8K.csv")

metadata.head()
Out[ ]:
slice_file_name fsID start end salience fold classID class
0 100032-3-0-0.wav 100032 0.0 0.317551 1 5 3 dog_bark
1 100263-2-0-117.wav 100263 58.5 62.500000 1 5 2 children_playing
2 100263-2-0-121.wav 100263 60.5 64.500000 1 5 2 children_playing
3 100263-2-0-126.wav 100263 63.0 67.000000 1 5 2 children_playing
4 100263-2-0-137.wav 100263 68.5 72.500000 1 5 2 children_playing

Anatomy of Metadata csv

  • UrbanSound8K the main dataset directory contains a two folders audio and metadata, the audio is where all the audio files are located, if you are running this in colab on right if you click on the UrbanSound8K Folder you can see that it has the said two folders by clicking on it.

  • audio folder in itself contains 10 folders named fold1, fold2 ..... fold10. These folds contains audio files details of which are mentioned in above csv or dataframe.

  • If we join "UrbanSound8K/audio/" + "fold" + fold_value(1/2/...10) + slice_file_name it becomes path for the audio file as well.(This logic will be implemented later, keep it in mind till then.)

Selecting random row for each class in metadata

In [ ]:
unique_audios = metadata.groupby(['class']).apply(lambda sub_df : sub_df.sample()).reset_index(drop = True)
In [ ]:
unique_audios
Out[ ]:
slice_file_name fsID start end salience fold classID class
0 119067-0-0-1.wav 119067 0.500000 4.500000 1 10 0 air_conditioner
1 199769-1-0-9.wav 199769 5.348273 9.348273 1 3 1 car_horn
2 162318-2-0-39.wav 162318 19.500000 23.500000 1 5 2 children_playing
3 52740-3-0-0.wav 52740 68.097690 72.097690 2 9 3 dog_bark
4 180125-4-1-7.wav 180125 44.348486 48.348486 1 5 4 drilling
5 195451-5-0-18.wav 195451 11.249062 15.249062 1 3 5 engine_idling
6 46656-6-5-0.wav 46656 10.761675 12.112513 1 1 6 gun_shot
7 62837-7-1-28.wav 62837 275.706708 279.706708 1 3 7 jackhammer
8 24347-8-0-81.wav 24347 44.620371 48.620371 2 4 8 siren
9 42955-9-0-12.wav 42955 6.000000 10.000000 1 6 9 street_music

Plotting selected rows

In [ ]:
fig, axs = plt.subplots(5,2,figsize=(15,8),constrained_layout=True)
axs = np.reshape(axs, -1)

for (index,row),ax in zip(unique_audios.iterrows(),axs):
  ax.set_title(row.values[-1])
  data, sr = librosa.load(f"/content/UrbanSound8K/audio/fold{row.values[-3]}/" + row.values[0])
  _ = librosa.display.waveplot(data, sr=sample_rate, ax=ax)

Let's see the number of instances for each class

In [ ]:
instance_counts = metadata['class'].value_counts()
sns.set(rc={'figure.figsize':(11.7,4.14)})
sns.barplot(x=instance_counts.values, y=instance_counts.index, orient='h')
Out[ ]:
<matplotlib.axes._subplots.AxesSubplot at 0x7f2560c79048>
  • Apart from car_horn and gun_shot class all of the classes appear to be balanced, this might be a problem we will try to address later.

Characterstics of Wave Audio File

image.png

In [ ]:
import struct

def read_file_properties(filename):
  wave_file = open(filename,"rb")
        
  riff = wave_file.read(12)
  fmt = wave_file.read(36)
  
  num_channels_string = fmt[10:12]
  num_channels = struct.unpack('<H', num_channels_string)[0]

  sample_rate_string = fmt[12:16]
  sample_rate = struct.unpack("<I",sample_rate_string)[0]
  
  bit_depth_string = fmt[22:24]
  bit_depth = struct.unpack("<H",bit_depth_string)[0]

  return (num_channels, sample_rate, bit_depth)
In [ ]:
audio_properties = []
for index,row in metadata.iterrows():
  file_name = os.path.join(*["/content/UrbanSound8K/audio", f"fold{row.values[-3]}", row.values[0]])
  audio_properties.append(read_file_properties(file_name))
In [ ]:
audiodf = pd.DataFrame(audio_properties, columns=['num_channels','sample_rate','bit_depth'])

audiodf.head()
Out[ ]:
num_channels sample_rate bit_depth
0 2 44100 16
1 2 44100 16
2 2 44100 16
3 2 44100 16
4 2 44100 16

Number of channels in audio files

In [ ]:
channels_data = audiodf['num_channels'].value_counts()
sns.barplot(x=channels_data.index, y=channels_data.values)
Out[ ]:
<matplotlib.axes._subplots.AxesSubplot at 0x7f2560ff6208>

Original Sample Rate of Audio Files

In [ ]:
channels_data = audiodf['sample_rate'].value_counts()
sns.barplot(x=channels_data.index, y=channels_data.values)
Out[ ]:
<matplotlib.axes._subplots.AxesSubplot at 0x7f2561041f28>

Bit Depth of Audio Files

In [ ]:
channels_data = audiodf['bit_depth'].value_counts()
sns.barplot(x=channels_data.index, y=channels_data.values)
Out[ ]:
<matplotlib.axes._subplots.AxesSubplot at 0x7f25611d14e0>

Librosa vs Scipy - Data Visualization

The stark contrast and why Librosa is the preferred library was observed due to following reasons:

  • Librosa by default reads audio file at fix sampling rate of 22050 hz.
  • Librosa reads all audio files(4,8,16....) at fix depth rate of 16
  • Librosa reads all audio files(stereo/mono) at fix num_channels = 1(stereo)
In [ ]:
from scipy.io import wavfile as wav
In [ ]:
unique_audios_5 = unique_audios.head()
fig, axs = plt.subplots(5,2,figsize=(15,8),constrained_layout=True)

for (index,row),ax in zip(unique_audios_5.iterrows(),axs):
  
  file_path = f"/content/UrbanSound8K/audio/fold{row.values[-3]}/" + row.values[0]
  ax[0].set_title(f"Librosa : {row.values[-1]}")
  data, sr = librosa.load(file_path)
  _ = librosa.display.waveplot(data, sr=sample_rate, ax=ax[0])

  try:
    scipy_sample_rate, scipy_audio = wav.read(file_path)
    ax[1].set_title(f"Scipy : {row.values[-1]}")
    ax[1].plot(scipy_audio) 
  except:
    pass

What is this mfcc and why are we using it?

MFCCs are essentially like taking a Fourier Transform of the signal, however, MFCCs use Mel scaling to try to model the way that the human hearing audiotory system perceives sounds, rather than describe them on a purely frequency (Hz) basis. This means that the MFCC should represent the textural or timbre of the signal (the baby cry) as we might hear it (e.g. a 'piercing' cry or a 'discontent' cry).

In [ ]:
unique_audios_5 = unique_audios.head()
fig, axs = plt.subplots(5,3,figsize=(15,8),constrained_layout=True)

for (index,row),ax in zip(unique_audios_5.iterrows(),axs):
  
  file_path = f"/content/UrbanSound8K/audio/fold{row.values[-3]}/" + row.values[0]
  ax[0].set_title(f"Librosa : {row.values[-1]}")
  data, sr = librosa.load(file_path)
  _ = librosa.display.waveplot(data, sr=sample_rate, ax=ax[0])

  ax[1].set_title(f"MFCC 40 : {row.values[-1]}")
  mfccs = librosa.feature.mfcc(data, n_mfcc= 40)
  librosa.display.specshow(mfccs, x_axis='time', ax=ax[1])

  ax[2].set_title(f"MFCC 30 : {row.values[-1]}")
  mfccs = librosa.feature.mfcc(data, n_mfcc= 30)
  librosa.display.specshow(mfccs, x_axis='time', ax=ax[2])

MFCC Feature Extractor

In [ ]:
def extract_features(file_name, n_mfcc=40):
   
    try:
        audio, sample_rate = librosa.load(file_name, res_type='kaiser_fast') 
        mfccs = librosa.feature.mfcc(y=audio, sr=sample_rate, n_mfcc=n_mfcc)
        mfccsscaled = np.mean(mfccs.T,axis=0)
        
    except Exception as e:
        print("Error encountered while parsing file: ", file)
        return None 
    return mfccsscaled
In [ ]:
#Takes time
from tqdm.notebook import tqdm 

features = []
for index,row in tqdm(metadata.iterrows()):
    file_path = f"/content/UrbanSound8K/audio/fold{row.values[-3]}/" + row.values[0]
    class_label = row.values[-1]
    try:
      data = extract_features(file_path)
      features.append([data, class_label])
    except:
      pass
      

featuresdf = pd.DataFrame(features, columns=['feature','class_label'])



















In [ ]:



    


featuresdf.head()



    













In [ ]:



    


featuresdf['class_label'] = pd.Categorical(featuresdf['class_label'])
featuresdf['class_category'] = featuresdf['class_label'].cat.codes

featuresdf['feature_len'] = featuresdf['feature'].apply(lambda x: len(x))



    













In [ ]:



    


featuresdf.head()



    













In [ ]:



    


featuresdf.to_json("features.json", orient='records')
!cp ./features.json /content/drive/MyDrive/Urban8KZip/



    













In [ ]:



    


!cp /content/drive/MyDrive/Urban8KZip/features.json ./



    













In [ ]:



    


import pandas as pd
featuresdf = pd.read_json("features.json", orient='records')



    













In [ ]:



    


featuresdf.head()



    















    
Out[ ]:











  
    

      
      feature
      class_label
      class_category
      feature_len
    

  
  
    

      0
      [-215.7930019798, 71.6661218578, -131.81377106...
      dog_bark
      3
      40
    

    

      1
      [-424.686857174, 110.5622761497, -54.148235845...
      children_playing
      2
      40
    

    

      2
      [-459.5646628172, 122.8003486268, -47.92470751...
      children_playing
      2
      40
    

    

      3
      [-414.5537705356, 102.896905432, -36.664954497...
      children_playing
      2
      40
    

    

      4
      [-447.3969992817, 115.0953847764, -53.80910915...
      children_playing
      2
      40
    

  
























Data Logging












In [ ]:



    


data = {
    'path': 'Urban8K/audio',
    'description': '8k+ audio files for 10 classes'
}
jovian.log_dataset(data)



    















    






[jovian] Dataset logged.





















Model Building & Training














Converting Data to Required Format












In [ ]:



    


import torch
import torch.nn as nn
import torch.nn.functional as F

import torchvision

from torch.utils.data import TensorDataset,DataLoader



    















The Data is not in the desired format, we will do the follow the steps to convert it in our required format.


    

  1. Split Dataset using sklearn
    2. 

  2. Convert the split data into torch tensors
    3. 

  3. Convert the torch tensors into Tensor Datasets.
    4. 

  4. Created DataLoaders from these Tensor Datasets.
    5. 
















1. Splitting Dataset using sklearn












In [ ]:



    


from sklearn.model_selection import train_test_split 
X = featuresdf.feature
y = featuresdf.class_category
x_train, x_test, y_train, y_test = train_test_split(list(X.values), list(y.values), test_size=0.2, random_state = 42, stratify=y)



    













In [ ]:



    


# x_train_base = [x_inst.tolist() for x_inst in x_train]
# x_test_base = [x_inst.tolist() for x_inst in x_test]

x_train_base = x_train
x_test_base = x_test



    















2. Converting Data into Torch tensors












In [ ]:



    


import numpy as np

x_train = np.array(x_train_base)
x_test = np.array(x_test_base)

y_train = np.array(y_train)
y_test = np.array(y_test)



    













In [ ]:



    


x_train_tensor = torch.tensor(x_train, dtype=torch.float32)
y_train_tensor = torch.tensor(y_train, dtype=torch.long)


x_test_tensor = torch.tensor(x_test, dtype=torch.float32)
y_test_tensor = torch.tensor(y_test, dtype=torch.long)



    













In [ ]:



    


print(x_train_tensor.type(),y_train_tensor.type())



    















    






torch.FloatTensor torch.LongTensor





















3,4 Converting into TensorDataset and feeding it to DataLoader












In [ ]:



    


train_dataset = TensorDataset(x_train_tensor,y_train_tensor)
test_dataset = TensorDataset(x_test_tensor,y_test_tensor)

train_dl = DataLoader(train_dataset, batch_size=64, shuffle=True)
test_dl = DataLoader(test_dataset, batch_size=64*2)



    















Model Building














Fixing Input and Output Size












In [ ]:



    


input_size = 40
output_size = featuresdf['class_category'].nunique()



    















Model














Github gist for base and top models













In [ ]:



    


!git clone https://gist.github.com/601213329b8c7b0a4b69cc8b6f3a7010.git
!mv ./601213329b8c7b0a4b69cc8b6f3a7010/* ./
!rm -rf ./601213329b8c7b0a4b69cc8b6f3a7010



    















    






Cloning into '601213329b8c7b0a4b69cc8b6f3a7010'...
remote: Enumerating objects: 28, done.
remote: Counting objects: 100% (28/28), done.
remote: Compressing objects: 100% (27/27), done.
remote: Total 28 (delta 14), reused 0 (delta 0), pack-reused 0
Unpacking objects: 100% (28/28), done.





















Model Loading Zone












In [ ]:



    


from model_nn_3_layers_simple import NNModel_3Layers



    













In [ ]:



    


from model_nn_4_layers_simple import NNModel_4Layers



    













In [ ]:



    


from model_nn_5_layers_simple import NNModel_5Layers



    













In [ ]:



    


from model_nn_6_layers_simple import NNModel_6Layers



    













In [ ]:



    


model_4_layers = NNModel_4Layers(input_size, output_size)



    















    
Out[ ]:








NNModel(
  (block1): Sequential(
    (0): Linear(in_features=40, out_features=128, bias=True)
    (1): ReLU()
    (2): Dropout(p=0.3, inplace=False)
  )
  (block2): Sequential(
    (0): Linear(in_features=128, out_features=256, bias=True)
    (1): ReLU()
    (2): Dropout(p=0.3, inplace=False)
  )
  (block3): Sequential(
    (0): Linear(in_features=256, out_features=256, bias=True)
    (1): ReLU()
    (2): Dropout(p=0.3, inplace=False)
  )
  (block4): Sequential(
    (0): Linear(in_features=256, out_features=10, bias=True)
    (1): ReLU()
    (2): Dropout(p=0.3, inplace=False)
  )
)





















Model Training














Accuracy and Loss Before Training












In [ ]:



    


device = torch.device("cuda" if torch.cuda.is_available() else "cpu")



    













In [ ]:



    


model_4_layers.eval()
valid_history = model_4_layers.evaluate_validation(test_dl, device)
acc = torch.stack([valid['val_acc'] for valid in valid_history]).mean().item()
loss = torch.stack([valid['val_loss'] for valid in valid_history]).mean().item()

print(f"Accuracy : {acc:.3f}, Loss : {loss:.3f}")



    















    






Accuracy : 0.117, Loss : 2.790





















Fit Function












In [ ]:



    


def fit(model,train_dataloader, valid_dataloader, n_epochs,lr = 0.001, optim = torch.optim.Adam, device = device):
  model_history = {'train_loss' : [], 'valid_loss' : [], 'train_acc' : [], 'valid_acc' : []}
  optimizer = optim(model.parameters(), lr)

  for epoch in range(n_epochs):
    model.train()
    train_loss = []
    train_accuracy = []

    for image_label_batch in train_dataloader:
      image, label = image_label_batch[0].to(device), image_label_batch[1].to(device)
      loss_acc = model.training_step((image, label))
      loss = loss_acc['loss']
      acc = loss_acc['acc']
      loss.backward()
      train_loss.append(loss)
      train_accuracy.append(acc)

      optimizer.step()
      optimizer.zero_grad()
    
    model.eval()
    
    with torch.no_grad():
        val_history = model.evaluate_validation(valid_dataloader, device)
        result = model.epoch_end(val_history)

    model_history['train_loss'].append(torch.stack(train_loss).mean().item())
    model_history['valid_loss'].append(result['val_loss'])
    model_history['train_acc'].append(torch.stack(train_accuracy).mean().item())
    model_history['valid_acc'].append(result['val_acc'])
    print(f"Epoch : {epoch}, Train Loss : {model_history['train_loss'][-1]:.2f}, Train Accuracy : {model_history['train_acc'][-1]:.2f}, Validation Loss : {result['val_loss']:.2f}, Validation Accuracy : {result['val_acc']:.2f}")


  return model_history



    













In [ ]:



    


import matplotlib.pyplot as plt



    















Test Case : n_epoch = 300, lr=0.001, SGD, final_acc = 18%












In [ ]:



    


history = fit(model_4_layers, train_dl, test_dl, 300, 0.001, optim = torch.optim.SGD, device = device)



    















    






Epoch : 0, Train Loss : 2.31, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 1, Train Loss : 2.31, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 2, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 3, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 4, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 5, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 6, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 7, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 8, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 9, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 10, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 11, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 12, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 13, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 14, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 15, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 16, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 17, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 18, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 19, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 20, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 21, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 22, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 23, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 24, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 25, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 26, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 27, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 28, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 29, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 30, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 31, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 32, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 33, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 34, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 35, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 36, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 37, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 38, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 39, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 40, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 41, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 42, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 43, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 44, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 45, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 46, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 47, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 48, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 49, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 50, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 51, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 52, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 53, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 54, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 55, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 56, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 57, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 58, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 59, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 60, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 61, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 62, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 63, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 64, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 65, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 66, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 67, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 68, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 69, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 70, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 71, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 72, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 73, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 74, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 75, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 76, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 77, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 78, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 79, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 80, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.29, Validation Accuracy : 0.12
Epoch : 81, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 82, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.29, Validation Accuracy : 0.12
Epoch : 83, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.29, Validation Accuracy : 0.12
Epoch : 84, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.29, Validation Accuracy : 0.12
Epoch : 85, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.29, Validation Accuracy : 0.12
Epoch : 86, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.29, Validation Accuracy : 0.12
Epoch : 87, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.29, Validation Accuracy : 0.12
Epoch : 88, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.29, Validation Accuracy : 0.12
Epoch : 89, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.29, Validation Accuracy : 0.12
Epoch : 90, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.29, Validation Accuracy : 0.12
Epoch : 91, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.29, Validation Accuracy : 0.12
Epoch : 92, Train Loss : 2.30, Train Accuracy : 0.13, Validation Loss : 2.29, Validation Accuracy : 0.12
Epoch : 93, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.29, Validation Accuracy : 0.13
Epoch : 94, Train Loss : 2.29, Train Accuracy : 0.13, Validation Loss : 2.29, Validation Accuracy : 0.14
Epoch : 95, Train Loss : 2.29, Train Accuracy : 0.13, Validation Loss : 2.29, Validation Accuracy : 0.13
Epoch : 96, Train Loss : 2.30, Train Accuracy : 0.13, Validation Loss : 2.29, Validation Accuracy : 0.13
Epoch : 97, Train Loss : 2.29, Train Accuracy : 0.13, Validation Loss : 2.29, Validation Accuracy : 0.14
Epoch : 98, Train Loss : 2.29, Train Accuracy : 0.13, Validation Loss : 2.28, Validation Accuracy : 0.14
Epoch : 99, Train Loss : 2.29, Train Accuracy : 0.13, Validation Loss : 2.28, Validation Accuracy : 0.14
Epoch : 100, Train Loss : 2.29, Train Accuracy : 0.13, Validation Loss : 2.28, Validation Accuracy : 0.14
Epoch : 101, Train Loss : 2.29, Train Accuracy : 0.13, Validation Loss : 2.27, Validation Accuracy : 0.14
Epoch : 102, Train Loss : 2.29, Train Accuracy : 0.14, Validation Loss : 2.27, Validation Accuracy : 0.14
Epoch : 103, Train Loss : 2.28, Train Accuracy : 0.14, Validation Loss : 2.27, Validation Accuracy : 0.15
Epoch : 104, Train Loss : 2.28, Train Accuracy : 0.14, Validation Loss : 2.27, Validation Accuracy : 0.15
Epoch : 105, Train Loss : 2.28, Train Accuracy : 0.14, Validation Loss : 2.27, Validation Accuracy : 0.14
Epoch : 106, Train Loss : 2.28, Train Accuracy : 0.14, Validation Loss : 2.26, Validation Accuracy : 0.15
Epoch : 107, Train Loss : 2.28, Train Accuracy : 0.14, Validation Loss : 2.26, Validation Accuracy : 0.15
Epoch : 108, Train Loss : 2.28, Train Accuracy : 0.14, Validation Loss : 2.26, Validation Accuracy : 0.15
Epoch : 109, Train Loss : 2.28, Train Accuracy : 0.14, Validation Loss : 2.27, Validation Accuracy : 0.15
Epoch : 110, Train Loss : 2.28, Train Accuracy : 0.14, Validation Loss : 2.27, Validation Accuracy : 0.15
Epoch : 111, Train Loss : 2.27, Train Accuracy : 0.14, Validation Loss : 2.26, Validation Accuracy : 0.15
Epoch : 112, Train Loss : 2.28, Train Accuracy : 0.14, Validation Loss : 2.26, Validation Accuracy : 0.15
Epoch : 113, Train Loss : 2.27, Train Accuracy : 0.14, Validation Loss : 2.26, Validation Accuracy : 0.15
Epoch : 114, Train Loss : 2.28, Train Accuracy : 0.14, Validation Loss : 2.26, Validation Accuracy : 0.15
Epoch : 115, Train Loss : 2.28, Train Accuracy : 0.14, Validation Loss : 2.26, Validation Accuracy : 0.15
Epoch : 116, Train Loss : 2.28, Train Accuracy : 0.14, Validation Loss : 2.26, Validation Accuracy : 0.15
Epoch : 117, Train Loss : 2.27, Train Accuracy : 0.14, Validation Loss : 2.26, Validation Accuracy : 0.15
Epoch : 118, Train Loss : 2.27, Train Accuracy : 0.15, Validation Loss : 2.26, Validation Accuracy : 0.15
Epoch : 119, Train Loss : 2.27, Train Accuracy : 0.14, Validation Loss : 2.26, Validation Accuracy : 0.15
Epoch : 120, Train Loss : 2.28, Train Accuracy : 0.14, Validation Loss : 2.26, Validation Accuracy : 0.15
Epoch : 121, Train Loss : 2.27, Train Accuracy : 0.14, Validation Loss : 2.26, Validation Accuracy : 0.15
Epoch : 122, Train Loss : 2.27, Train Accuracy : 0.14, Validation Loss : 2.25, Validation Accuracy : 0.15
Epoch : 123, Train Loss : 2.27, Train Accuracy : 0.14, Validation Loss : 2.26, Validation Accuracy : 0.15
Epoch : 124, Train Loss : 2.27, Train Accuracy : 0.15, Validation Loss : 2.26, Validation Accuracy : 0.15
Epoch : 125, Train Loss : 2.27, Train Accuracy : 0.14, Validation Loss : 2.26, Validation Accuracy : 0.15
Epoch : 126, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.15
Epoch : 127, Train Loss : 2.27, Train Accuracy : 0.15, Validation Loss : 2.26, Validation Accuracy : 0.15
Epoch : 128, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 129, Train Loss : 2.27, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 130, Train Loss : 2.27, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 131, Train Loss : 2.27, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 132, Train Loss : 2.27, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 133, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 134, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 135, Train Loss : 2.27, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 136, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 137, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 138, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 139, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 140, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 141, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 142, Train Loss : 2.27, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 143, Train Loss : 2.26, Train Accuracy : 0.14, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 144, Train Loss : 2.27, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 145, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 146, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 147, Train Loss : 2.27, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 148, Train Loss : 2.27, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 149, Train Loss : 2.27, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.16
Epoch : 150, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 151, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.16
Epoch : 152, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.16
Epoch : 153, Train Loss : 2.27, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 154, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 155, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.16
Epoch : 156, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 157, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.16
Epoch : 158, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.16
Epoch : 159, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 160, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.16
Epoch : 161, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 162, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 163, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 164, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 165, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.16
Epoch : 166, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 167, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 168, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.16
Epoch : 169, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 170, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 171, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 172, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.16
Epoch : 173, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 174, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 175, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 176, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 177, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 178, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 179, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 180, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 181, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 182, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 183, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 184, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 185, Train Loss : 2.26, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 186, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 187, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 188, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 189, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 190, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 191, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 192, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 193, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 194, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 195, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 196, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 197, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 198, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 199, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 200, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 201, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 202, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 203, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 204, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 205, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 206, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 207, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 208, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 209, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 210, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 211, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 212, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 213, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 214, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 215, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 216, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 217, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 218, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 219, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 220, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 221, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.18
Epoch : 222, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 223, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 224, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 225, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 226, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.18
Epoch : 227, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 228, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 229, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.18
Epoch : 230, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 231, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 232, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 233, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 234, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 235, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 236, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 237, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 238, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 239, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 240, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 241, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 242, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 243, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 244, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 245, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 246, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 247, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 248, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 249, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 250, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 251, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 252, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 253, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 254, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 255, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 256, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 257, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 258, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 259, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 260, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 261, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 262, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 263, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 264, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 265, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 266, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 267, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 268, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 269, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 270, Train Loss : 2.23, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 271, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 272, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 273, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 274, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 275, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 276, Train Loss : 2.23, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 277, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 278, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 279, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 280, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 281, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 282, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 283, Train Loss : 2.23, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 284, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 285, Train Loss : 2.23, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 286, Train Loss : 2.23, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 287, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 288, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 289, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 290, Train Loss : 2.23, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 291, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 292, Train Loss : 2.23, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 293, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 294, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 295, Train Loss : 2.23, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 296, Train Loss : 2.23, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 297, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 298, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 299, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18



















In [ ]:



    


fig, (ax1, ax2) = plt.subplots(1,2, figsize=(15,6))

fig.suptitle(f"model_nn_4_layers_simple : 300 Epochs, 0.001 SGD", fontsize=16)
ax1.plot(history['train_acc'], label='train accuracy')
ax1.plot(history['valid_acc'], label='valid accuracy')
ax1.legend()


ax2.plot(history['train_loss'], label='train loss')
ax2.plot(history['valid_loss'], label='valid loss')
ax2.legend()

fig.show()



    















    




























Test Case : n_epoch = 1000, lr=0.001, SGD, final_acc = 74%












In [ ]:



    


model_4_layers = NNModel_4Layers(input_size, output_size)
history2 = fit(model_4_layers, train_dl, test_dl, 1000, 0.001, optim=torch.optim.SGD, device = device)



    















    






Epoch : 0, Train Loss : 2.40, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 1, Train Loss : 2.31, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 2, Train Loss : 2.31, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 3, Train Loss : 2.31, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 4, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 5, Train Loss : 2.31, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 6, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 7, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 8, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 9, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 10, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 11, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 12, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 13, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 14, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 15, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 16, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 17, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 18, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 19, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 20, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 21, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 22, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 23, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 24, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 25, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 26, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 27, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 28, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 29, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 30, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 31, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 32, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 33, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 34, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 35, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 36, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 37, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 38, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 39, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 40, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 41, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 42, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 43, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 44, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 45, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 46, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 47, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 48, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 49, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 50, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 51, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 52, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 53, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 54, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 55, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 56, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 57, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 58, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 59, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 60, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 61, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 62, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 63, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 64, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 65, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 66, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 67, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 68, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.14
Epoch : 69, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.29, Validation Accuracy : 0.14
Epoch : 70, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.29, Validation Accuracy : 0.15
Epoch : 71, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.29, Validation Accuracy : 0.14
Epoch : 72, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.29, Validation Accuracy : 0.15
Epoch : 73, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.29, Validation Accuracy : 0.15
Epoch : 74, Train Loss : 2.30, Train Accuracy : 0.13, Validation Loss : 2.28, Validation Accuracy : 0.14
Epoch : 75, Train Loss : 2.29, Train Accuracy : 0.13, Validation Loss : 2.28, Validation Accuracy : 0.14
Epoch : 76, Train Loss : 2.29, Train Accuracy : 0.13, Validation Loss : 2.28, Validation Accuracy : 0.14
Epoch : 77, Train Loss : 2.29, Train Accuracy : 0.13, Validation Loss : 2.28, Validation Accuracy : 0.14
Epoch : 78, Train Loss : 2.29, Train Accuracy : 0.13, Validation Loss : 2.28, Validation Accuracy : 0.14
Epoch : 79, Train Loss : 2.29, Train Accuracy : 0.13, Validation Loss : 2.27, Validation Accuracy : 0.14
Epoch : 80, Train Loss : 2.29, Train Accuracy : 0.13, Validation Loss : 2.27, Validation Accuracy : 0.14
Epoch : 81, Train Loss : 2.29, Train Accuracy : 0.13, Validation Loss : 2.27, Validation Accuracy : 0.14
Epoch : 82, Train Loss : 2.29, Train Accuracy : 0.13, Validation Loss : 2.27, Validation Accuracy : 0.15
Epoch : 83, Train Loss : 2.29, Train Accuracy : 0.14, Validation Loss : 2.27, Validation Accuracy : 0.15
Epoch : 84, Train Loss : 2.29, Train Accuracy : 0.13, Validation Loss : 2.27, Validation Accuracy : 0.15
Epoch : 85, Train Loss : 2.29, Train Accuracy : 0.13, Validation Loss : 2.27, Validation Accuracy : 0.15
Epoch : 86, Train Loss : 2.29, Train Accuracy : 0.13, Validation Loss : 2.27, Validation Accuracy : 0.15
Epoch : 87, Train Loss : 2.29, Train Accuracy : 0.13, Validation Loss : 2.26, Validation Accuracy : 0.15
Epoch : 88, Train Loss : 2.28, Train Accuracy : 0.14, Validation Loss : 2.26, Validation Accuracy : 0.17
Epoch : 89, Train Loss : 2.28, Train Accuracy : 0.14, Validation Loss : 2.26, Validation Accuracy : 0.17
Epoch : 90, Train Loss : 2.28, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.17
Epoch : 91, Train Loss : 2.28, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.17
Epoch : 92, Train Loss : 2.27, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 93, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 94, Train Loss : 2.27, Train Accuracy : 0.16, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 95, Train Loss : 2.27, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 96, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.18
Epoch : 97, Train Loss : 2.27, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.18
Epoch : 98, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 99, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 100, Train Loss : 2.26, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 101, Train Loss : 2.26, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.17
Epoch : 102, Train Loss : 2.26, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 103, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 104, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 105, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 106, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 107, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 108, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.19
Epoch : 109, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 110, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 111, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 112, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 113, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.19
Epoch : 114, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 115, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 116, Train Loss : 2.23, Train Accuracy : 0.17, Validation Loss : 2.20, Validation Accuracy : 0.18
Epoch : 117, Train Loss : 2.24, Train Accuracy : 0.17, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 118, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.20, Validation Accuracy : 0.19
Epoch : 119, Train Loss : 2.24, Train Accuracy : 0.17, Validation Loss : 2.20, Validation Accuracy : 0.19
Epoch : 120, Train Loss : 2.24, Train Accuracy : 0.17, Validation Loss : 2.20, Validation Accuracy : 0.19
Epoch : 121, Train Loss : 2.24, Train Accuracy : 0.17, Validation Loss : 2.20, Validation Accuracy : 0.19
Epoch : 122, Train Loss : 2.24, Train Accuracy : 0.17, Validation Loss : 2.20, Validation Accuracy : 0.19
Epoch : 123, Train Loss : 2.24, Train Accuracy : 0.17, Validation Loss : 2.20, Validation Accuracy : 0.19
Epoch : 124, Train Loss : 2.23, Train Accuracy : 0.17, Validation Loss : 2.20, Validation Accuracy : 0.19
Epoch : 125, Train Loss : 2.24, Train Accuracy : 0.17, Validation Loss : 2.19, Validation Accuracy : 0.19
Epoch : 126, Train Loss : 2.23, Train Accuracy : 0.18, Validation Loss : 2.19, Validation Accuracy : 0.19
Epoch : 127, Train Loss : 2.23, Train Accuracy : 0.17, Validation Loss : 2.19, Validation Accuracy : 0.20
Epoch : 128, Train Loss : 2.23, Train Accuracy : 0.18, Validation Loss : 2.19, Validation Accuracy : 0.19
Epoch : 129, Train Loss : 2.23, Train Accuracy : 0.17, Validation Loss : 2.19, Validation Accuracy : 0.19
Epoch : 130, Train Loss : 2.23, Train Accuracy : 0.17, Validation Loss : 2.19, Validation Accuracy : 0.19
Epoch : 131, Train Loss : 2.23, Train Accuracy : 0.17, Validation Loss : 2.19, Validation Accuracy : 0.19
Epoch : 132, Train Loss : 2.23, Train Accuracy : 0.17, Validation Loss : 2.19, Validation Accuracy : 0.20
Epoch : 133, Train Loss : 2.23, Train Accuracy : 0.17, Validation Loss : 2.18, Validation Accuracy : 0.20
Epoch : 134, Train Loss : 2.22, Train Accuracy : 0.17, Validation Loss : 2.18, Validation Accuracy : 0.20
Epoch : 135, Train Loss : 2.22, Train Accuracy : 0.18, Validation Loss : 2.18, Validation Accuracy : 0.19
Epoch : 136, Train Loss : 2.22, Train Accuracy : 0.18, Validation Loss : 2.18, Validation Accuracy : 0.20
Epoch : 137, Train Loss : 2.22, Train Accuracy : 0.18, Validation Loss : 2.17, Validation Accuracy : 0.20
Epoch : 138, Train Loss : 2.21, Train Accuracy : 0.18, Validation Loss : 2.17, Validation Accuracy : 0.21
Epoch : 139, Train Loss : 2.22, Train Accuracy : 0.19, Validation Loss : 2.17, Validation Accuracy : 0.22
Epoch : 140, Train Loss : 2.21, Train Accuracy : 0.19, Validation Loss : 2.16, Validation Accuracy : 0.22
Epoch : 141, Train Loss : 2.20, Train Accuracy : 0.19, Validation Loss : 2.16, Validation Accuracy : 0.23
Epoch : 142, Train Loss : 2.21, Train Accuracy : 0.19, Validation Loss : 2.15, Validation Accuracy : 0.24
Epoch : 143, Train Loss : 2.19, Train Accuracy : 0.20, Validation Loss : 2.14, Validation Accuracy : 0.24
Epoch : 144, Train Loss : 2.19, Train Accuracy : 0.19, Validation Loss : 2.14, Validation Accuracy : 0.24
Epoch : 145, Train Loss : 2.19, Train Accuracy : 0.20, Validation Loss : 2.14, Validation Accuracy : 0.24
Epoch : 146, Train Loss : 2.19, Train Accuracy : 0.20, Validation Loss : 2.13, Validation Accuracy : 0.26
Epoch : 147, Train Loss : 2.20, Train Accuracy : 0.20, Validation Loss : 2.13, Validation Accuracy : 0.25
Epoch : 148, Train Loss : 2.18, Train Accuracy : 0.20, Validation Loss : 2.12, Validation Accuracy : 0.25
Epoch : 149, Train Loss : 2.19, Train Accuracy : 0.20, Validation Loss : 2.12, Validation Accuracy : 0.25
Epoch : 150, Train Loss : 2.18, Train Accuracy : 0.21, Validation Loss : 2.11, Validation Accuracy : 0.26
Epoch : 151, Train Loss : 2.17, Train Accuracy : 0.21, Validation Loss : 2.11, Validation Accuracy : 0.26
Epoch : 152, Train Loss : 2.17, Train Accuracy : 0.21, Validation Loss : 2.09, Validation Accuracy : 0.26
Epoch : 153, Train Loss : 2.17, Train Accuracy : 0.21, Validation Loss : 2.10, Validation Accuracy : 0.26
Epoch : 154, Train Loss : 2.17, Train Accuracy : 0.22, Validation Loss : 2.09, Validation Accuracy : 0.27
Epoch : 155, Train Loss : 2.16, Train Accuracy : 0.21, Validation Loss : 2.08, Validation Accuracy : 0.26
Epoch : 156, Train Loss : 2.16, Train Accuracy : 0.21, Validation Loss : 2.08, Validation Accuracy : 0.27
Epoch : 157, Train Loss : 2.16, Train Accuracy : 0.21, Validation Loss : 2.08, Validation Accuracy : 0.27
Epoch : 158, Train Loss : 2.15, Train Accuracy : 0.22, Validation Loss : 2.08, Validation Accuracy : 0.27
Epoch : 159, Train Loss : 2.15, Train Accuracy : 0.22, Validation Loss : 2.08, Validation Accuracy : 0.27
Epoch : 160, Train Loss : 2.15, Train Accuracy : 0.22, Validation Loss : 2.07, Validation Accuracy : 0.28
Epoch : 161, Train Loss : 2.14, Train Accuracy : 0.22, Validation Loss : 2.07, Validation Accuracy : 0.28
Epoch : 162, Train Loss : 2.15, Train Accuracy : 0.22, Validation Loss : 2.06, Validation Accuracy : 0.28
Epoch : 163, Train Loss : 2.13, Train Accuracy : 0.23, Validation Loss : 2.03, Validation Accuracy : 0.31
Epoch : 164, Train Loss : 2.13, Train Accuracy : 0.24, Validation Loss : 2.01, Validation Accuracy : 0.33
Epoch : 165, Train Loss : 2.11, Train Accuracy : 0.25, Validation Loss : 1.99, Validation Accuracy : 0.33
Epoch : 166, Train Loss : 2.10, Train Accuracy : 0.25, Validation Loss : 1.97, Validation Accuracy : 0.33
Epoch : 167, Train Loss : 2.10, Train Accuracy : 0.26, Validation Loss : 1.97, Validation Accuracy : 0.34
Epoch : 168, Train Loss : 2.09, Train Accuracy : 0.26, Validation Loss : 1.96, Validation Accuracy : 0.35
Epoch : 169, Train Loss : 2.07, Train Accuracy : 0.27, Validation Loss : 1.94, Validation Accuracy : 0.37
Epoch : 170, Train Loss : 2.08, Train Accuracy : 0.27, Validation Loss : 1.93, Validation Accuracy : 0.38
Epoch : 171, Train Loss : 2.04, Train Accuracy : 0.29, Validation Loss : 1.90, Validation Accuracy : 0.38
Epoch : 172, Train Loss : 2.05, Train Accuracy : 0.28, Validation Loss : 1.89, Validation Accuracy : 0.39
Epoch : 173, Train Loss : 2.04, Train Accuracy : 0.29, Validation Loss : 1.89, Validation Accuracy : 0.39
Epoch : 174, Train Loss : 2.05, Train Accuracy : 0.28, Validation Loss : 1.89, Validation Accuracy : 0.39
Epoch : 175, Train Loss : 2.02, Train Accuracy : 0.29, Validation Loss : 1.88, Validation Accuracy : 0.39
Epoch : 176, Train Loss : 2.03, Train Accuracy : 0.29, Validation Loss : 1.87, Validation Accuracy : 0.40
Epoch : 177, Train Loss : 2.02, Train Accuracy : 0.30, Validation Loss : 1.87, Validation Accuracy : 0.39
Epoch : 178, Train Loss : 2.01, Train Accuracy : 0.30, Validation Loss : 1.86, Validation Accuracy : 0.39
Epoch : 179, Train Loss : 2.01, Train Accuracy : 0.30, Validation Loss : 1.85, Validation Accuracy : 0.40
Epoch : 180, Train Loss : 2.01, Train Accuracy : 0.30, Validation Loss : 1.85, Validation Accuracy : 0.40
Epoch : 181, Train Loss : 2.00, Train Accuracy : 0.30, Validation Loss : 1.85, Validation Accuracy : 0.40
Epoch : 182, Train Loss : 2.00, Train Accuracy : 0.30, Validation Loss : 1.84, Validation Accuracy : 0.41
Epoch : 183, Train Loss : 2.00, Train Accuracy : 0.30, Validation Loss : 1.84, Validation Accuracy : 0.40
Epoch : 184, Train Loss : 2.00, Train Accuracy : 0.30, Validation Loss : 1.84, Validation Accuracy : 0.42
Epoch : 185, Train Loss : 1.99, Train Accuracy : 0.31, Validation Loss : 1.82, Validation Accuracy : 0.41
Epoch : 186, Train Loss : 2.00, Train Accuracy : 0.30, Validation Loss : 1.82, Validation Accuracy : 0.41
Epoch : 187, Train Loss : 1.98, Train Accuracy : 0.30, Validation Loss : 1.81, Validation Accuracy : 0.41
Epoch : 188, Train Loss : 1.98, Train Accuracy : 0.31, Validation Loss : 1.81, Validation Accuracy : 0.42
Epoch : 189, Train Loss : 1.99, Train Accuracy : 0.31, Validation Loss : 1.82, Validation Accuracy : 0.42
Epoch : 190, Train Loss : 1.98, Train Accuracy : 0.31, Validation Loss : 1.82, Validation Accuracy : 0.43
Epoch : 191, Train Loss : 1.98, Train Accuracy : 0.31, Validation Loss : 1.80, Validation Accuracy : 0.42
Epoch : 192, Train Loss : 1.97, Train Accuracy : 0.31, Validation Loss : 1.81, Validation Accuracy : 0.42
Epoch : 193, Train Loss : 1.97, Train Accuracy : 0.31, Validation Loss : 1.80, Validation Accuracy : 0.43
Epoch : 194, Train Loss : 1.97, Train Accuracy : 0.31, Validation Loss : 1.80, Validation Accuracy : 0.43
Epoch : 195, Train Loss : 1.97, Train Accuracy : 0.31, Validation Loss : 1.80, Validation Accuracy : 0.42
Epoch : 196, Train Loss : 1.97, Train Accuracy : 0.31, Validation Loss : 1.79, Validation Accuracy : 0.43
Epoch : 197, Train Loss : 1.96, Train Accuracy : 0.32, Validation Loss : 1.79, Validation Accuracy : 0.44
Epoch : 198, Train Loss : 1.95, Train Accuracy : 0.31, Validation Loss : 1.78, Validation Accuracy : 0.44
Epoch : 199, Train Loss : 1.96, Train Accuracy : 0.32, Validation Loss : 1.78, Validation Accuracy : 0.42
Epoch : 200, Train Loss : 1.97, Train Accuracy : 0.32, Validation Loss : 1.78, Validation Accuracy : 0.44
Epoch : 201, Train Loss : 1.95, Train Accuracy : 0.32, Validation Loss : 1.78, Validation Accuracy : 0.44
Epoch : 202, Train Loss : 1.95, Train Accuracy : 0.32, Validation Loss : 1.77, Validation Accuracy : 0.44
Epoch : 203, Train Loss : 1.96, Train Accuracy : 0.31, Validation Loss : 1.77, Validation Accuracy : 0.42
Epoch : 204, Train Loss : 1.94, Train Accuracy : 0.33, Validation Loss : 1.76, Validation Accuracy : 0.45
Epoch : 205, Train Loss : 1.94, Train Accuracy : 0.32, Validation Loss : 1.77, Validation Accuracy : 0.44
Epoch : 206, Train Loss : 1.95, Train Accuracy : 0.32, Validation Loss : 1.76, Validation Accuracy : 0.45
Epoch : 207, Train Loss : 1.93, Train Accuracy : 0.33, Validation Loss : 1.76, Validation Accuracy : 0.44
Epoch : 208, Train Loss : 1.94, Train Accuracy : 0.33, Validation Loss : 1.76, Validation Accuracy : 0.44
Epoch : 209, Train Loss : 1.94, Train Accuracy : 0.33, Validation Loss : 1.76, Validation Accuracy : 0.44
Epoch : 210, Train Loss : 1.94, Train Accuracy : 0.32, Validation Loss : 1.76, Validation Accuracy : 0.44
Epoch : 211, Train Loss : 1.94, Train Accuracy : 0.33, Validation Loss : 1.75, Validation Accuracy : 0.45
Epoch : 212, Train Loss : 1.93, Train Accuracy : 0.33, Validation Loss : 1.75, Validation Accuracy : 0.45
Epoch : 213, Train Loss : 1.94, Train Accuracy : 0.32, Validation Loss : 1.75, Validation Accuracy : 0.45
Epoch : 214, Train Loss : 1.94, Train Accuracy : 0.33, Validation Loss : 1.75, Validation Accuracy : 0.46
Epoch : 215, Train Loss : 1.93, Train Accuracy : 0.34, Validation Loss : 1.75, Validation Accuracy : 0.45
Epoch : 216, Train Loss : 1.93, Train Accuracy : 0.33, Validation Loss : 1.74, Validation Accuracy : 0.44
Epoch : 217, Train Loss : 1.92, Train Accuracy : 0.33, Validation Loss : 1.74, Validation Accuracy : 0.45
Epoch : 218, Train Loss : 1.93, Train Accuracy : 0.33, Validation Loss : 1.74, Validation Accuracy : 0.45
Epoch : 219, Train Loss : 1.93, Train Accuracy : 0.33, Validation Loss : 1.73, Validation Accuracy : 0.45
Epoch : 220, Train Loss : 1.92, Train Accuracy : 0.33, Validation Loss : 1.72, Validation Accuracy : 0.44
Epoch : 221, Train Loss : 1.93, Train Accuracy : 0.33, Validation Loss : 1.73, Validation Accuracy : 0.46
Epoch : 222, Train Loss : 1.93, Train Accuracy : 0.33, Validation Loss : 1.74, Validation Accuracy : 0.45
Epoch : 223, Train Loss : 1.92, Train Accuracy : 0.34, Validation Loss : 1.72, Validation Accuracy : 0.46
Epoch : 224, Train Loss : 1.92, Train Accuracy : 0.33, Validation Loss : 1.74, Validation Accuracy : 0.46
Epoch : 225, Train Loss : 1.93, Train Accuracy : 0.33, Validation Loss : 1.72, Validation Accuracy : 0.45
Epoch : 226, Train Loss : 1.91, Train Accuracy : 0.33, Validation Loss : 1.73, Validation Accuracy : 0.45
Epoch : 227, Train Loss : 1.92, Train Accuracy : 0.33, Validation Loss : 1.73, Validation Accuracy : 0.46
Epoch : 228, Train Loss : 1.92, Train Accuracy : 0.33, Validation Loss : 1.73, Validation Accuracy : 0.46
Epoch : 229, Train Loss : 1.91, Train Accuracy : 0.34, Validation Loss : 1.72, Validation Accuracy : 0.46
Epoch : 230, Train Loss : 1.90, Train Accuracy : 0.33, Validation Loss : 1.72, Validation Accuracy : 0.46
Epoch : 231, Train Loss : 1.91, Train Accuracy : 0.33, Validation Loss : 1.72, Validation Accuracy : 0.47
Epoch : 232, Train Loss : 1.91, Train Accuracy : 0.34, Validation Loss : 1.70, Validation Accuracy : 0.47
Epoch : 233, Train Loss : 1.91, Train Accuracy : 0.34, Validation Loss : 1.72, Validation Accuracy : 0.47
Epoch : 234, Train Loss : 1.91, Train Accuracy : 0.35, Validation Loss : 1.72, Validation Accuracy : 0.47
Epoch : 235, Train Loss : 1.90, Train Accuracy : 0.34, Validation Loss : 1.70, Validation Accuracy : 0.47
Epoch : 236, Train Loss : 1.91, Train Accuracy : 0.34, Validation Loss : 1.70, Validation Accuracy : 0.46
Epoch : 237, Train Loss : 1.90, Train Accuracy : 0.35, Validation Loss : 1.70, Validation Accuracy : 0.46
Epoch : 238, Train Loss : 1.91, Train Accuracy : 0.34, Validation Loss : 1.69, Validation Accuracy : 0.46
Epoch : 239, Train Loss : 1.88, Train Accuracy : 0.35, Validation Loss : 1.70, Validation Accuracy : 0.47
Epoch : 240, Train Loss : 1.89, Train Accuracy : 0.35, Validation Loss : 1.70, Validation Accuracy : 0.46
Epoch : 241, Train Loss : 1.92, Train Accuracy : 0.34, Validation Loss : 1.70, Validation Accuracy : 0.47
Epoch : 242, Train Loss : 1.90, Train Accuracy : 0.35, Validation Loss : 1.69, Validation Accuracy : 0.48
Epoch : 243, Train Loss : 1.90, Train Accuracy : 0.35, Validation Loss : 1.70, Validation Accuracy : 0.48
Epoch : 244, Train Loss : 1.89, Train Accuracy : 0.35, Validation Loss : 1.69, Validation Accuracy : 0.49
Epoch : 245, Train Loss : 1.88, Train Accuracy : 0.36, Validation Loss : 1.68, Validation Accuracy : 0.50
Epoch : 246, Train Loss : 1.88, Train Accuracy : 0.37, Validation Loss : 1.67, Validation Accuracy : 0.50
Epoch : 247, Train Loss : 1.86, Train Accuracy : 0.37, Validation Loss : 1.65, Validation Accuracy : 0.50
Epoch : 248, Train Loss : 1.88, Train Accuracy : 0.37, Validation Loss : 1.66, Validation Accuracy : 0.51
Epoch : 249, Train Loss : 1.88, Train Accuracy : 0.36, Validation Loss : 1.66, Validation Accuracy : 0.51
Epoch : 250, Train Loss : 1.88, Train Accuracy : 0.37, Validation Loss : 1.65, Validation Accuracy : 0.51
Epoch : 251, Train Loss : 1.87, Train Accuracy : 0.37, Validation Loss : 1.64, Validation Accuracy : 0.51
Epoch : 252, Train Loss : 1.87, Train Accuracy : 0.37, Validation Loss : 1.64, Validation Accuracy : 0.51
Epoch : 253, Train Loss : 1.87, Train Accuracy : 0.37, Validation Loss : 1.64, Validation Accuracy : 0.52
Epoch : 254, Train Loss : 1.86, Train Accuracy : 0.38, Validation Loss : 1.64, Validation Accuracy : 0.52
Epoch : 255, Train Loss : 1.86, Train Accuracy : 0.38, Validation Loss : 1.63, Validation Accuracy : 0.51
Epoch : 256, Train Loss : 1.85, Train Accuracy : 0.38, Validation Loss : 1.63, Validation Accuracy : 0.52
Epoch : 257, Train Loss : 1.87, Train Accuracy : 0.37, Validation Loss : 1.62, Validation Accuracy : 0.52
Epoch : 258, Train Loss : 1.85, Train Accuracy : 0.38, Validation Loss : 1.62, Validation Accuracy : 0.52
Epoch : 259, Train Loss : 1.85, Train Accuracy : 0.38, Validation Loss : 1.64, Validation Accuracy : 0.52
Epoch : 260, Train Loss : 1.86, Train Accuracy : 0.38, Validation Loss : 1.62, Validation Accuracy : 0.52
Epoch : 261, Train Loss : 1.83, Train Accuracy : 0.38, Validation Loss : 1.62, Validation Accuracy : 0.52
Epoch : 262, Train Loss : 1.86, Train Accuracy : 0.37, Validation Loss : 1.61, Validation Accuracy : 0.52
Epoch : 263, Train Loss : 1.85, Train Accuracy : 0.38, Validation Loss : 1.61, Validation Accuracy : 0.53
Epoch : 264, Train Loss : 1.85, Train Accuracy : 0.38, Validation Loss : 1.62, Validation Accuracy : 0.52
Epoch : 265, Train Loss : 1.83, Train Accuracy : 0.39, Validation Loss : 1.61, Validation Accuracy : 0.52
Epoch : 266, Train Loss : 1.84, Train Accuracy : 0.38, Validation Loss : 1.60, Validation Accuracy : 0.53
Epoch : 267, Train Loss : 1.85, Train Accuracy : 0.38, Validation Loss : 1.60, Validation Accuracy : 0.53
Epoch : 268, Train Loss : 1.83, Train Accuracy : 0.39, Validation Loss : 1.61, Validation Accuracy : 0.52
Epoch : 269, Train Loss : 1.84, Train Accuracy : 0.38, Validation Loss : 1.60, Validation Accuracy : 0.52
Epoch : 270, Train Loss : 1.83, Train Accuracy : 0.39, Validation Loss : 1.61, Validation Accuracy : 0.53
Epoch : 271, Train Loss : 1.82, Train Accuracy : 0.39, Validation Loss : 1.59, Validation Accuracy : 0.52
Epoch : 272, Train Loss : 1.83, Train Accuracy : 0.39, Validation Loss : 1.60, Validation Accuracy : 0.53
Epoch : 273, Train Loss : 1.83, Train Accuracy : 0.39, Validation Loss : 1.60, Validation Accuracy : 0.54
Epoch : 274, Train Loss : 1.82, Train Accuracy : 0.39, Validation Loss : 1.58, Validation Accuracy : 0.54
Epoch : 275, Train Loss : 1.83, Train Accuracy : 0.39, Validation Loss : 1.59, Validation Accuracy : 0.53
Epoch : 276, Train Loss : 1.82, Train Accuracy : 0.39, Validation Loss : 1.57, Validation Accuracy : 0.54
Epoch : 277, Train Loss : 1.83, Train Accuracy : 0.38, Validation Loss : 1.58, Validation Accuracy : 0.54
Epoch : 278, Train Loss : 1.82, Train Accuracy : 0.40, Validation Loss : 1.57, Validation Accuracy : 0.55
Epoch : 279, Train Loss : 1.81, Train Accuracy : 0.40, Validation Loss : 1.56, Validation Accuracy : 0.54
Epoch : 280, Train Loss : 1.79, Train Accuracy : 0.40, Validation Loss : 1.56, Validation Accuracy : 0.55
Epoch : 281, Train Loss : 1.81, Train Accuracy : 0.40, Validation Loss : 1.56, Validation Accuracy : 0.56
Epoch : 282, Train Loss : 1.81, Train Accuracy : 0.40, Validation Loss : 1.55, Validation Accuracy : 0.55
Epoch : 283, Train Loss : 1.80, Train Accuracy : 0.40, Validation Loss : 1.53, Validation Accuracy : 0.56
Epoch : 284, Train Loss : 1.82, Train Accuracy : 0.39, Validation Loss : 1.55, Validation Accuracy : 0.56
Epoch : 285, Train Loss : 1.79, Train Accuracy : 0.40, Validation Loss : 1.53, Validation Accuracy : 0.56
Epoch : 286, Train Loss : 1.79, Train Accuracy : 0.40, Validation Loss : 1.54, Validation Accuracy : 0.56
Epoch : 287, Train Loss : 1.79, Train Accuracy : 0.41, Validation Loss : 1.54, Validation Accuracy : 0.56
Epoch : 288, Train Loss : 1.80, Train Accuracy : 0.40, Validation Loss : 1.53, Validation Accuracy : 0.55
Epoch : 289, Train Loss : 1.78, Train Accuracy : 0.40, Validation Loss : 1.52, Validation Accuracy : 0.56
Epoch : 290, Train Loss : 1.80, Train Accuracy : 0.40, Validation Loss : 1.53, Validation Accuracy : 0.56
Epoch : 291, Train Loss : 1.81, Train Accuracy : 0.39, Validation Loss : 1.53, Validation Accuracy : 0.56
Epoch : 292, Train Loss : 1.79, Train Accuracy : 0.40, Validation Loss : 1.51, Validation Accuracy : 0.56
Epoch : 293, Train Loss : 1.78, Train Accuracy : 0.41, Validation Loss : 1.52, Validation Accuracy : 0.57
Epoch : 294, Train Loss : 1.77, Train Accuracy : 0.41, Validation Loss : 1.50, Validation Accuracy : 0.56
Epoch : 295, Train Loss : 1.78, Train Accuracy : 0.41, Validation Loss : 1.51, Validation Accuracy : 0.56
Epoch : 296, Train Loss : 1.78, Train Accuracy : 0.40, Validation Loss : 1.51, Validation Accuracy : 0.57
Epoch : 297, Train Loss : 1.78, Train Accuracy : 0.41, Validation Loss : 1.50, Validation Accuracy : 0.57
Epoch : 298, Train Loss : 1.78, Train Accuracy : 0.40, Validation Loss : 1.49, Validation Accuracy : 0.57
Epoch : 299, Train Loss : 1.78, Train Accuracy : 0.40, Validation Loss : 1.49, Validation Accuracy : 0.57
Epoch : 300, Train Loss : 1.78, Train Accuracy : 0.41, Validation Loss : 1.50, Validation Accuracy : 0.57
Epoch : 301, Train Loss : 1.76, Train Accuracy : 0.42, Validation Loss : 1.49, Validation Accuracy : 0.57
Epoch : 302, Train Loss : 1.76, Train Accuracy : 0.42, Validation Loss : 1.50, Validation Accuracy : 0.56
Epoch : 303, Train Loss : 1.77, Train Accuracy : 0.40, Validation Loss : 1.49, Validation Accuracy : 0.57
Epoch : 304, Train Loss : 1.75, Train Accuracy : 0.42, Validation Loss : 1.49, Validation Accuracy : 0.57
Epoch : 305, Train Loss : 1.76, Train Accuracy : 0.41, Validation Loss : 1.49, Validation Accuracy : 0.57
Epoch : 306, Train Loss : 1.76, Train Accuracy : 0.41, Validation Loss : 1.48, Validation Accuracy : 0.57
Epoch : 307, Train Loss : 1.75, Train Accuracy : 0.42, Validation Loss : 1.48, Validation Accuracy : 0.57
Epoch : 308, Train Loss : 1.77, Train Accuracy : 0.41, Validation Loss : 1.50, Validation Accuracy : 0.57
Epoch : 309, Train Loss : 1.75, Train Accuracy : 0.42, Validation Loss : 1.49, Validation Accuracy : 0.58
Epoch : 310, Train Loss : 1.76, Train Accuracy : 0.41, Validation Loss : 1.49, Validation Accuracy : 0.58
Epoch : 311, Train Loss : 1.75, Train Accuracy : 0.42, Validation Loss : 1.49, Validation Accuracy : 0.58
Epoch : 312, Train Loss : 1.75, Train Accuracy : 0.42, Validation Loss : 1.47, Validation Accuracy : 0.58
Epoch : 313, Train Loss : 1.76, Train Accuracy : 0.41, Validation Loss : 1.47, Validation Accuracy : 0.58
Epoch : 314, Train Loss : 1.75, Train Accuracy : 0.41, Validation Loss : 1.48, Validation Accuracy : 0.57
Epoch : 315, Train Loss : 1.75, Train Accuracy : 0.41, Validation Loss : 1.49, Validation Accuracy : 0.56
Epoch : 316, Train Loss : 1.74, Train Accuracy : 0.42, Validation Loss : 1.46, Validation Accuracy : 0.58
Epoch : 317, Train Loss : 1.75, Train Accuracy : 0.42, Validation Loss : 1.50, Validation Accuracy : 0.56
Epoch : 318, Train Loss : 1.74, Train Accuracy : 0.43, Validation Loss : 1.44, Validation Accuracy : 0.59
Epoch : 319, Train Loss : 1.74, Train Accuracy : 0.41, Validation Loss : 1.46, Validation Accuracy : 0.58
Epoch : 320, Train Loss : 1.75, Train Accuracy : 0.42, Validation Loss : 1.48, Validation Accuracy : 0.59
Epoch : 321, Train Loss : 1.74, Train Accuracy : 0.42, Validation Loss : 1.46, Validation Accuracy : 0.58
Epoch : 322, Train Loss : 1.73, Train Accuracy : 0.42, Validation Loss : 1.46, Validation Accuracy : 0.59
Epoch : 323, Train Loss : 1.73, Train Accuracy : 0.42, Validation Loss : 1.46, Validation Accuracy : 0.58
Epoch : 324, Train Loss : 1.74, Train Accuracy : 0.42, Validation Loss : 1.49, Validation Accuracy : 0.57
Epoch : 325, Train Loss : 1.74, Train Accuracy : 0.42, Validation Loss : 1.45, Validation Accuracy : 0.59
Epoch : 326, Train Loss : 1.75, Train Accuracy : 0.41, Validation Loss : 1.45, Validation Accuracy : 0.59
Epoch : 327, Train Loss : 1.75, Train Accuracy : 0.41, Validation Loss : 1.45, Validation Accuracy : 0.58
Epoch : 328, Train Loss : 1.72, Train Accuracy : 0.42, Validation Loss : 1.45, Validation Accuracy : 0.58
Epoch : 329, Train Loss : 1.72, Train Accuracy : 0.43, Validation Loss : 1.45, Validation Accuracy : 0.60
Epoch : 330, Train Loss : 1.73, Train Accuracy : 0.43, Validation Loss : 1.45, Validation Accuracy : 0.59
Epoch : 331, Train Loss : 1.74, Train Accuracy : 0.41, Validation Loss : 1.45, Validation Accuracy : 0.59
Epoch : 332, Train Loss : 1.74, Train Accuracy : 0.42, Validation Loss : 1.45, Validation Accuracy : 0.59
Epoch : 333, Train Loss : 1.74, Train Accuracy : 0.42, Validation Loss : 1.45, Validation Accuracy : 0.59
Epoch : 334, Train Loss : 1.73, Train Accuracy : 0.42, Validation Loss : 1.45, Validation Accuracy : 0.59
Epoch : 335, Train Loss : 1.72, Train Accuracy : 0.43, Validation Loss : 1.43, Validation Accuracy : 0.59
Epoch : 336, Train Loss : 1.72, Train Accuracy : 0.43, Validation Loss : 1.44, Validation Accuracy : 0.59
Epoch : 337, Train Loss : 1.73, Train Accuracy : 0.42, Validation Loss : 1.45, Validation Accuracy : 0.59
Epoch : 338, Train Loss : 1.73, Train Accuracy : 0.42, Validation Loss : 1.43, Validation Accuracy : 0.59
Epoch : 339, Train Loss : 1.71, Train Accuracy : 0.44, Validation Loss : 1.44, Validation Accuracy : 0.59
Epoch : 340, Train Loss : 1.73, Train Accuracy : 0.42, Validation Loss : 1.43, Validation Accuracy : 0.59
Epoch : 341, Train Loss : 1.71, Train Accuracy : 0.43, Validation Loss : 1.44, Validation Accuracy : 0.59
Epoch : 342, Train Loss : 1.70, Train Accuracy : 0.43, Validation Loss : 1.42, Validation Accuracy : 0.60
Epoch : 343, Train Loss : 1.72, Train Accuracy : 0.42, Validation Loss : 1.43, Validation Accuracy : 0.59
Epoch : 344, Train Loss : 1.72, Train Accuracy : 0.43, Validation Loss : 1.41, Validation Accuracy : 0.60
Epoch : 345, Train Loss : 1.72, Train Accuracy : 0.43, Validation Loss : 1.42, Validation Accuracy : 0.60
Epoch : 346, Train Loss : 1.71, Train Accuracy : 0.43, Validation Loss : 1.41, Validation Accuracy : 0.60
Epoch : 347, Train Loss : 1.71, Train Accuracy : 0.43, Validation Loss : 1.42, Validation Accuracy : 0.60
Epoch : 348, Train Loss : 1.72, Train Accuracy : 0.43, Validation Loss : 1.43, Validation Accuracy : 0.58
Epoch : 349, Train Loss : 1.71, Train Accuracy : 0.43, Validation Loss : 1.42, Validation Accuracy : 0.60
Epoch : 350, Train Loss : 1.71, Train Accuracy : 0.43, Validation Loss : 1.41, Validation Accuracy : 0.60
Epoch : 351, Train Loss : 1.72, Train Accuracy : 0.43, Validation Loss : 1.43, Validation Accuracy : 0.60
Epoch : 352, Train Loss : 1.73, Train Accuracy : 0.42, Validation Loss : 1.41, Validation Accuracy : 0.60
Epoch : 353, Train Loss : 1.71, Train Accuracy : 0.44, Validation Loss : 1.43, Validation Accuracy : 0.60
Epoch : 354, Train Loss : 1.71, Train Accuracy : 0.43, Validation Loss : 1.42, Validation Accuracy : 0.60
Epoch : 355, Train Loss : 1.71, Train Accuracy : 0.43, Validation Loss : 1.41, Validation Accuracy : 0.60
Epoch : 356, Train Loss : 1.68, Train Accuracy : 0.45, Validation Loss : 1.41, Validation Accuracy : 0.60
Epoch : 357, Train Loss : 1.70, Train Accuracy : 0.44, Validation Loss : 1.42, Validation Accuracy : 0.60
Epoch : 358, Train Loss : 1.70, Train Accuracy : 0.44, Validation Loss : 1.40, Validation Accuracy : 0.60
Epoch : 359, Train Loss : 1.70, Train Accuracy : 0.44, Validation Loss : 1.41, Validation Accuracy : 0.60
Epoch : 360, Train Loss : 1.71, Train Accuracy : 0.43, Validation Loss : 1.39, Validation Accuracy : 0.60
Epoch : 361, Train Loss : 1.69, Train Accuracy : 0.44, Validation Loss : 1.40, Validation Accuracy : 0.60
Epoch : 362, Train Loss : 1.70, Train Accuracy : 0.43, Validation Loss : 1.40, Validation Accuracy : 0.60
Epoch : 363, Train Loss : 1.69, Train Accuracy : 0.44, Validation Loss : 1.40, Validation Accuracy : 0.60
Epoch : 364, Train Loss : 1.68, Train Accuracy : 0.45, Validation Loss : 1.38, Validation Accuracy : 0.61
Epoch : 365, Train Loss : 1.70, Train Accuracy : 0.43, Validation Loss : 1.42, Validation Accuracy : 0.60
Epoch : 366, Train Loss : 1.69, Train Accuracy : 0.44, Validation Loss : 1.39, Validation Accuracy : 0.61
Epoch : 367, Train Loss : 1.68, Train Accuracy : 0.44, Validation Loss : 1.40, Validation Accuracy : 0.60
Epoch : 368, Train Loss : 1.69, Train Accuracy : 0.44, Validation Loss : 1.37, Validation Accuracy : 0.61
Epoch : 369, Train Loss : 1.69, Train Accuracy : 0.44, Validation Loss : 1.39, Validation Accuracy : 0.60
Epoch : 370, Train Loss : 1.68, Train Accuracy : 0.44, Validation Loss : 1.36, Validation Accuracy : 0.61
Epoch : 371, Train Loss : 1.70, Train Accuracy : 0.44, Validation Loss : 1.39, Validation Accuracy : 0.60
Epoch : 372, Train Loss : 1.72, Train Accuracy : 0.43, Validation Loss : 1.38, Validation Accuracy : 0.61
Epoch : 373, Train Loss : 1.69, Train Accuracy : 0.43, Validation Loss : 1.39, Validation Accuracy : 0.60
Epoch : 374, Train Loss : 1.67, Train Accuracy : 0.44, Validation Loss : 1.40, Validation Accuracy : 0.61
Epoch : 375, Train Loss : 1.69, Train Accuracy : 0.44, Validation Loss : 1.38, Validation Accuracy : 0.60
Epoch : 376, Train Loss : 1.72, Train Accuracy : 0.43, Validation Loss : 1.41, Validation Accuracy : 0.61
Epoch : 377, Train Loss : 1.70, Train Accuracy : 0.43, Validation Loss : 1.39, Validation Accuracy : 0.61
Epoch : 378, Train Loss : 1.70, Train Accuracy : 0.43, Validation Loss : 1.41, Validation Accuracy : 0.60
Epoch : 379, Train Loss : 1.67, Train Accuracy : 0.44, Validation Loss : 1.41, Validation Accuracy : 0.61
Epoch : 380, Train Loss : 1.68, Train Accuracy : 0.44, Validation Loss : 1.40, Validation Accuracy : 0.61
Epoch : 381, Train Loss : 1.69, Train Accuracy : 0.44, Validation Loss : 1.39, Validation Accuracy : 0.61
Epoch : 382, Train Loss : 1.68, Train Accuracy : 0.44, Validation Loss : 1.40, Validation Accuracy : 0.60
Epoch : 383, Train Loss : 1.67, Train Accuracy : 0.45, Validation Loss : 1.38, Validation Accuracy : 0.61
Epoch : 384, Train Loss : 1.68, Train Accuracy : 0.44, Validation Loss : 1.35, Validation Accuracy : 0.61
Epoch : 385, Train Loss : 1.66, Train Accuracy : 0.45, Validation Loss : 1.38, Validation Accuracy : 0.60
Epoch : 386, Train Loss : 1.67, Train Accuracy : 0.44, Validation Loss : 1.40, Validation Accuracy : 0.61
Epoch : 387, Train Loss : 1.68, Train Accuracy : 0.44, Validation Loss : 1.38, Validation Accuracy : 0.61
Epoch : 388, Train Loss : 1.67, Train Accuracy : 0.44, Validation Loss : 1.39, Validation Accuracy : 0.62
Epoch : 389, Train Loss : 1.68, Train Accuracy : 0.44, Validation Loss : 1.36, Validation Accuracy : 0.62
Epoch : 390, Train Loss : 1.68, Train Accuracy : 0.44, Validation Loss : 1.36, Validation Accuracy : 0.62
Epoch : 391, Train Loss : 1.67, Train Accuracy : 0.44, Validation Loss : 1.38, Validation Accuracy : 0.61
Epoch : 392, Train Loss : 1.67, Train Accuracy : 0.45, Validation Loss : 1.35, Validation Accuracy : 0.61
Epoch : 393, Train Loss : 1.67, Train Accuracy : 0.45, Validation Loss : 1.36, Validation Accuracy : 0.62
Epoch : 394, Train Loss : 1.68, Train Accuracy : 0.44, Validation Loss : 1.37, Validation Accuracy : 0.61
Epoch : 395, Train Loss : 1.68, Train Accuracy : 0.44, Validation Loss : 1.34, Validation Accuracy : 0.61
Epoch : 396, Train Loss : 1.68, Train Accuracy : 0.44, Validation Loss : 1.37, Validation Accuracy : 0.62
Epoch : 397, Train Loss : 1.67, Train Accuracy : 0.44, Validation Loss : 1.35, Validation Accuracy : 0.62
Epoch : 398, Train Loss : 1.69, Train Accuracy : 0.44, Validation Loss : 1.37, Validation Accuracy : 0.61
Epoch : 399, Train Loss : 1.66, Train Accuracy : 0.45, Validation Loss : 1.34, Validation Accuracy : 0.62
Epoch : 400, Train Loss : 1.66, Train Accuracy : 0.44, Validation Loss : 1.37, Validation Accuracy : 0.61
Epoch : 401, Train Loss : 1.64, Train Accuracy : 0.45, Validation Loss : 1.36, Validation Accuracy : 0.62
Epoch : 402, Train Loss : 1.67, Train Accuracy : 0.44, Validation Loss : 1.37, Validation Accuracy : 0.62
Epoch : 403, Train Loss : 1.69, Train Accuracy : 0.44, Validation Loss : 1.37, Validation Accuracy : 0.62
Epoch : 404, Train Loss : 1.65, Train Accuracy : 0.45, Validation Loss : 1.37, Validation Accuracy : 0.61
Epoch : 405, Train Loss : 1.67, Train Accuracy : 0.44, Validation Loss : 1.36, Validation Accuracy : 0.61
Epoch : 406, Train Loss : 1.67, Train Accuracy : 0.44, Validation Loss : 1.37, Validation Accuracy : 0.62
Epoch : 407, Train Loss : 1.66, Train Accuracy : 0.45, Validation Loss : 1.36, Validation Accuracy : 0.62
Epoch : 408, Train Loss : 1.66, Train Accuracy : 0.45, Validation Loss : 1.34, Validation Accuracy : 0.62
Epoch : 409, Train Loss : 1.69, Train Accuracy : 0.44, Validation Loss : 1.37, Validation Accuracy : 0.62
Epoch : 410, Train Loss : 1.67, Train Accuracy : 0.44, Validation Loss : 1.39, Validation Accuracy : 0.61
Epoch : 411, Train Loss : 1.65, Train Accuracy : 0.45, Validation Loss : 1.35, Validation Accuracy : 0.62
Epoch : 412, Train Loss : 1.66, Train Accuracy : 0.45, Validation Loss : 1.33, Validation Accuracy : 0.62
Epoch : 413, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.38, Validation Accuracy : 0.61
Epoch : 414, Train Loss : 1.65, Train Accuracy : 0.45, Validation Loss : 1.36, Validation Accuracy : 0.62
Epoch : 415, Train Loss : 1.65, Train Accuracy : 0.45, Validation Loss : 1.34, Validation Accuracy : 0.62
Epoch : 416, Train Loss : 1.66, Train Accuracy : 0.44, Validation Loss : 1.34, Validation Accuracy : 0.62
Epoch : 417, Train Loss : 1.66, Train Accuracy : 0.45, Validation Loss : 1.32, Validation Accuracy : 0.62
Epoch : 418, Train Loss : 1.66, Train Accuracy : 0.44, Validation Loss : 1.35, Validation Accuracy : 0.61
Epoch : 419, Train Loss : 1.66, Train Accuracy : 0.44, Validation Loss : 1.34, Validation Accuracy : 0.61
Epoch : 420, Train Loss : 1.66, Train Accuracy : 0.44, Validation Loss : 1.34, Validation Accuracy : 0.62
Epoch : 421, Train Loss : 1.66, Train Accuracy : 0.45, Validation Loss : 1.33, Validation Accuracy : 0.62
Epoch : 422, Train Loss : 1.64, Train Accuracy : 0.45, Validation Loss : 1.32, Validation Accuracy : 0.63
Epoch : 423, Train Loss : 1.65, Train Accuracy : 0.45, Validation Loss : 1.35, Validation Accuracy : 0.62
Epoch : 424, Train Loss : 1.66, Train Accuracy : 0.45, Validation Loss : 1.32, Validation Accuracy : 0.63
Epoch : 425, Train Loss : 1.65, Train Accuracy : 0.45, Validation Loss : 1.31, Validation Accuracy : 0.62
Epoch : 426, Train Loss : 1.63, Train Accuracy : 0.45, Validation Loss : 1.34, Validation Accuracy : 0.62
Epoch : 427, Train Loss : 1.64, Train Accuracy : 0.46, Validation Loss : 1.33, Validation Accuracy : 0.63
Epoch : 428, Train Loss : 1.66, Train Accuracy : 0.45, Validation Loss : 1.36, Validation Accuracy : 0.62
Epoch : 429, Train Loss : 1.66, Train Accuracy : 0.45, Validation Loss : 1.32, Validation Accuracy : 0.63
Epoch : 430, Train Loss : 1.65, Train Accuracy : 0.45, Validation Loss : 1.32, Validation Accuracy : 0.62
Epoch : 431, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.32, Validation Accuracy : 0.63
Epoch : 432, Train Loss : 1.66, Train Accuracy : 0.45, Validation Loss : 1.33, Validation Accuracy : 0.62
Epoch : 433, Train Loss : 1.62, Train Accuracy : 0.46, Validation Loss : 1.31, Validation Accuracy : 0.62
Epoch : 434, Train Loss : 1.65, Train Accuracy : 0.45, Validation Loss : 1.32, Validation Accuracy : 0.63
Epoch : 435, Train Loss : 1.63, Train Accuracy : 0.45, Validation Loss : 1.32, Validation Accuracy : 0.63
Epoch : 436, Train Loss : 1.66, Train Accuracy : 0.45, Validation Loss : 1.36, Validation Accuracy : 0.62
Epoch : 437, Train Loss : 1.65, Train Accuracy : 0.45, Validation Loss : 1.31, Validation Accuracy : 0.63
Epoch : 438, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.31, Validation Accuracy : 0.63
Epoch : 439, Train Loss : 1.64, Train Accuracy : 0.45, Validation Loss : 1.36, Validation Accuracy : 0.62
Epoch : 440, Train Loss : 1.64, Train Accuracy : 0.46, Validation Loss : 1.31, Validation Accuracy : 0.63
Epoch : 441, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.34, Validation Accuracy : 0.63
Epoch : 442, Train Loss : 1.65, Train Accuracy : 0.45, Validation Loss : 1.31, Validation Accuracy : 0.63
Epoch : 443, Train Loss : 1.64, Train Accuracy : 0.45, Validation Loss : 1.30, Validation Accuracy : 0.63
Epoch : 444, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.35, Validation Accuracy : 0.61
Epoch : 445, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.31, Validation Accuracy : 0.63
Epoch : 446, Train Loss : 1.62, Train Accuracy : 0.46, Validation Loss : 1.30, Validation Accuracy : 0.63
Epoch : 447, Train Loss : 1.64, Train Accuracy : 0.45, Validation Loss : 1.31, Validation Accuracy : 0.63
Epoch : 448, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.30, Validation Accuracy : 0.63
Epoch : 449, Train Loss : 1.65, Train Accuracy : 0.45, Validation Loss : 1.32, Validation Accuracy : 0.61
Epoch : 450, Train Loss : 1.64, Train Accuracy : 0.45, Validation Loss : 1.33, Validation Accuracy : 0.62
Epoch : 451, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.35, Validation Accuracy : 0.62
Epoch : 452, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.30, Validation Accuracy : 0.63
Epoch : 453, Train Loss : 1.62, Train Accuracy : 0.46, Validation Loss : 1.31, Validation Accuracy : 0.63
Epoch : 454, Train Loss : 1.65, Train Accuracy : 0.44, Validation Loss : 1.33, Validation Accuracy : 0.64
Epoch : 455, Train Loss : 1.64, Train Accuracy : 0.46, Validation Loss : 1.30, Validation Accuracy : 0.63
Epoch : 456, Train Loss : 1.64, Train Accuracy : 0.45, Validation Loss : 1.31, Validation Accuracy : 0.63
Epoch : 457, Train Loss : 1.62, Train Accuracy : 0.45, Validation Loss : 1.30, Validation Accuracy : 0.64
Epoch : 458, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.34, Validation Accuracy : 0.62
Epoch : 459, Train Loss : 1.62, Train Accuracy : 0.46, Validation Loss : 1.30, Validation Accuracy : 0.63
Epoch : 460, Train Loss : 1.62, Train Accuracy : 0.46, Validation Loss : 1.29, Validation Accuracy : 0.64
Epoch : 461, Train Loss : 1.64, Train Accuracy : 0.45, Validation Loss : 1.30, Validation Accuracy : 0.64
Epoch : 462, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.29, Validation Accuracy : 0.63
Epoch : 463, Train Loss : 1.63, Train Accuracy : 0.45, Validation Loss : 1.28, Validation Accuracy : 0.64
Epoch : 464, Train Loss : 1.62, Train Accuracy : 0.46, Validation Loss : 1.29, Validation Accuracy : 0.63
Epoch : 465, Train Loss : 1.62, Train Accuracy : 0.46, Validation Loss : 1.30, Validation Accuracy : 0.63
Epoch : 466, Train Loss : 1.62, Train Accuracy : 0.46, Validation Loss : 1.30, Validation Accuracy : 0.64
Epoch : 467, Train Loss : 1.62, Train Accuracy : 0.45, Validation Loss : 1.30, Validation Accuracy : 0.62
Epoch : 468, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.31, Validation Accuracy : 0.62
Epoch : 469, Train Loss : 1.61, Train Accuracy : 0.46, Validation Loss : 1.30, Validation Accuracy : 0.63
Epoch : 470, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.30, Validation Accuracy : 0.63
Epoch : 471, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.27, Validation Accuracy : 0.63
Epoch : 472, Train Loss : 1.62, Train Accuracy : 0.46, Validation Loss : 1.31, Validation Accuracy : 0.64
Epoch : 473, Train Loss : 1.61, Train Accuracy : 0.47, Validation Loss : 1.32, Validation Accuracy : 0.63
Epoch : 474, Train Loss : 1.61, Train Accuracy : 0.46, Validation Loss : 1.28, Validation Accuracy : 0.63
Epoch : 475, Train Loss : 1.61, Train Accuracy : 0.46, Validation Loss : 1.29, Validation Accuracy : 0.64
Epoch : 476, Train Loss : 1.61, Train Accuracy : 0.46, Validation Loss : 1.28, Validation Accuracy : 0.64
Epoch : 477, Train Loss : 1.60, Train Accuracy : 0.47, Validation Loss : 1.27, Validation Accuracy : 0.64
Epoch : 478, Train Loss : 1.63, Train Accuracy : 0.45, Validation Loss : 1.30, Validation Accuracy : 0.64
Epoch : 479, Train Loss : 1.61, Train Accuracy : 0.46, Validation Loss : 1.33, Validation Accuracy : 0.63
Epoch : 480, Train Loss : 1.60, Train Accuracy : 0.46, Validation Loss : 1.28, Validation Accuracy : 0.64
Epoch : 481, Train Loss : 1.62, Train Accuracy : 0.46, Validation Loss : 1.27, Validation Accuracy : 0.64
Epoch : 482, Train Loss : 1.61, Train Accuracy : 0.46, Validation Loss : 1.30, Validation Accuracy : 0.63
Epoch : 483, Train Loss : 1.63, Train Accuracy : 0.45, Validation Loss : 1.27, Validation Accuracy : 0.64
Epoch : 484, Train Loss : 1.62, Train Accuracy : 0.46, Validation Loss : 1.30, Validation Accuracy : 0.63
Epoch : 485, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.27, Validation Accuracy : 0.63
Epoch : 486, Train Loss : 1.61, Train Accuracy : 0.46, Validation Loss : 1.26, Validation Accuracy : 0.64
Epoch : 487, Train Loss : 1.61, Train Accuracy : 0.47, Validation Loss : 1.28, Validation Accuracy : 0.64
Epoch : 488, Train Loss : 1.60, Train Accuracy : 0.47, Validation Loss : 1.27, Validation Accuracy : 0.64
Epoch : 489, Train Loss : 1.60, Train Accuracy : 0.46, Validation Loss : 1.28, Validation Accuracy : 0.64
Epoch : 490, Train Loss : 1.61, Train Accuracy : 0.46, Validation Loss : 1.28, Validation Accuracy : 0.64
Epoch : 491, Train Loss : 1.58, Train Accuracy : 0.47, Validation Loss : 1.29, Validation Accuracy : 0.63
Epoch : 492, Train Loss : 1.62, Train Accuracy : 0.45, Validation Loss : 1.27, Validation Accuracy : 0.63
Epoch : 493, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.27, Validation Accuracy : 0.64
Epoch : 494, Train Loss : 1.60, Train Accuracy : 0.46, Validation Loss : 1.28, Validation Accuracy : 0.64
Epoch : 495, Train Loss : 1.60, Train Accuracy : 0.46, Validation Loss : 1.27, Validation Accuracy : 0.64
Epoch : 496, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.28, Validation Accuracy : 0.63
Epoch : 497, Train Loss : 1.58, Train Accuracy : 0.47, Validation Loss : 1.28, Validation Accuracy : 0.63
Epoch : 498, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.27, Validation Accuracy : 0.64
Epoch : 499, Train Loss : 1.62, Train Accuracy : 0.46, Validation Loss : 1.26, Validation Accuracy : 0.64
Epoch : 500, Train Loss : 1.60, Train Accuracy : 0.46, Validation Loss : 1.29, Validation Accuracy : 0.64
Epoch : 501, Train Loss : 1.61, Train Accuracy : 0.46, Validation Loss : 1.30, Validation Accuracy : 0.64
Epoch : 502, Train Loss : 1.60, Train Accuracy : 0.47, Validation Loss : 1.26, Validation Accuracy : 0.64
Epoch : 503, Train Loss : 1.58, Train Accuracy : 0.47, Validation Loss : 1.25, Validation Accuracy : 0.65
Epoch : 504, Train Loss : 1.60, Train Accuracy : 0.47, Validation Loss : 1.26, Validation Accuracy : 0.63
Epoch : 505, Train Loss : 1.61, Train Accuracy : 0.46, Validation Loss : 1.27, Validation Accuracy : 0.64
Epoch : 506, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.26, Validation Accuracy : 0.64
Epoch : 507, Train Loss : 1.59, Train Accuracy : 0.46, Validation Loss : 1.26, Validation Accuracy : 0.64
Epoch : 508, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.27, Validation Accuracy : 0.64
Epoch : 509, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.25, Validation Accuracy : 0.64
Epoch : 510, Train Loss : 1.61, Train Accuracy : 0.46, Validation Loss : 1.28, Validation Accuracy : 0.65
Epoch : 511, Train Loss : 1.58, Train Accuracy : 0.47, Validation Loss : 1.26, Validation Accuracy : 0.65
Epoch : 512, Train Loss : 1.55, Train Accuracy : 0.48, Validation Loss : 1.26, Validation Accuracy : 0.65
Epoch : 513, Train Loss : 1.60, Train Accuracy : 0.47, Validation Loss : 1.26, Validation Accuracy : 0.64
Epoch : 514, Train Loss : 1.58, Train Accuracy : 0.48, Validation Loss : 1.26, Validation Accuracy : 0.63
Epoch : 515, Train Loss : 1.60, Train Accuracy : 0.47, Validation Loss : 1.28, Validation Accuracy : 0.63
Epoch : 516, Train Loss : 1.60, Train Accuracy : 0.46, Validation Loss : 1.25, Validation Accuracy : 0.64
Epoch : 517, Train Loss : 1.60, Train Accuracy : 0.46, Validation Loss : 1.28, Validation Accuracy : 0.64
Epoch : 518, Train Loss : 1.59, Train Accuracy : 0.46, Validation Loss : 1.25, Validation Accuracy : 0.64
Epoch : 519, Train Loss : 1.57, Train Accuracy : 0.48, Validation Loss : 1.23, Validation Accuracy : 0.65
Epoch : 520, Train Loss : 1.58, Train Accuracy : 0.47, Validation Loss : 1.23, Validation Accuracy : 0.65
Epoch : 521, Train Loss : 1.60, Train Accuracy : 0.47, Validation Loss : 1.25, Validation Accuracy : 0.63
Epoch : 522, Train Loss : 1.59, Train Accuracy : 0.46, Validation Loss : 1.25, Validation Accuracy : 0.64
Epoch : 523, Train Loss : 1.57, Train Accuracy : 0.48, Validation Loss : 1.24, Validation Accuracy : 0.65
Epoch : 524, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.23, Validation Accuracy : 0.64
Epoch : 525, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.29, Validation Accuracy : 0.64
Epoch : 526, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.27, Validation Accuracy : 0.65
Epoch : 527, Train Loss : 1.59, Train Accuracy : 0.46, Validation Loss : 1.24, Validation Accuracy : 0.64
Epoch : 528, Train Loss : 1.61, Train Accuracy : 0.46, Validation Loss : 1.28, Validation Accuracy : 0.65
Epoch : 529, Train Loss : 1.60, Train Accuracy : 0.47, Validation Loss : 1.28, Validation Accuracy : 0.64
Epoch : 530, Train Loss : 1.58, Train Accuracy : 0.47, Validation Loss : 1.25, Validation Accuracy : 0.65
Epoch : 531, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.25, Validation Accuracy : 0.65
Epoch : 532, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.28, Validation Accuracy : 0.62
Epoch : 533, Train Loss : 1.56, Train Accuracy : 0.48, Validation Loss : 1.23, Validation Accuracy : 0.64
Epoch : 534, Train Loss : 1.56, Train Accuracy : 0.48, Validation Loss : 1.28, Validation Accuracy : 0.65
Epoch : 535, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.25, Validation Accuracy : 0.65
Epoch : 536, Train Loss : 1.58, Train Accuracy : 0.47, Validation Loss : 1.23, Validation Accuracy : 0.65
Epoch : 537, Train Loss : 1.57, Train Accuracy : 0.48, Validation Loss : 1.25, Validation Accuracy : 0.65
Epoch : 538, Train Loss : 1.57, Train Accuracy : 0.47, Validation Loss : 1.22, Validation Accuracy : 0.66
Epoch : 539, Train Loss : 1.56, Train Accuracy : 0.48, Validation Loss : 1.24, Validation Accuracy : 0.64
Epoch : 540, Train Loss : 1.54, Train Accuracy : 0.48, Validation Loss : 1.24, Validation Accuracy : 0.64
Epoch : 541, Train Loss : 1.57, Train Accuracy : 0.47, Validation Loss : 1.23, Validation Accuracy : 0.65
Epoch : 542, Train Loss : 1.57, Train Accuracy : 0.48, Validation Loss : 1.24, Validation Accuracy : 0.65
Epoch : 543, Train Loss : 1.57, Train Accuracy : 0.47, Validation Loss : 1.24, Validation Accuracy : 0.65
Epoch : 544, Train Loss : 1.58, Train Accuracy : 0.48, Validation Loss : 1.23, Validation Accuracy : 0.65
Epoch : 545, Train Loss : 1.57, Train Accuracy : 0.48, Validation Loss : 1.23, Validation Accuracy : 0.65
Epoch : 546, Train Loss : 1.57, Train Accuracy : 0.47, Validation Loss : 1.23, Validation Accuracy : 0.65
Epoch : 547, Train Loss : 1.59, Train Accuracy : 0.46, Validation Loss : 1.22, Validation Accuracy : 0.65
Epoch : 548, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.29, Validation Accuracy : 0.64
Epoch : 549, Train Loss : 1.57, Train Accuracy : 0.47, Validation Loss : 1.22, Validation Accuracy : 0.66
Epoch : 550, Train Loss : 1.58, Train Accuracy : 0.47, Validation Loss : 1.24, Validation Accuracy : 0.66
Epoch : 551, Train Loss : 1.57, Train Accuracy : 0.47, Validation Loss : 1.23, Validation Accuracy : 0.65
Epoch : 552, Train Loss : 1.56, Train Accuracy : 0.48, Validation Loss : 1.23, Validation Accuracy : 0.65
Epoch : 553, Train Loss : 1.56, Train Accuracy : 0.47, Validation Loss : 1.23, Validation Accuracy : 0.66
Epoch : 554, Train Loss : 1.57, Train Accuracy : 0.47, Validation Loss : 1.22, Validation Accuracy : 0.64
Epoch : 555, Train Loss : 1.55, Train Accuracy : 0.48, Validation Loss : 1.22, Validation Accuracy : 0.65
Epoch : 556, Train Loss : 1.57, Train Accuracy : 0.47, Validation Loss : 1.23, Validation Accuracy : 0.65
Epoch : 557, Train Loss : 1.56, Train Accuracy : 0.48, Validation Loss : 1.24, Validation Accuracy : 0.64
Epoch : 558, Train Loss : 1.57, Train Accuracy : 0.47, Validation Loss : 1.24, Validation Accuracy : 0.65
Epoch : 559, Train Loss : 1.56, Train Accuracy : 0.48, Validation Loss : 1.23, Validation Accuracy : 0.65
Epoch : 560, Train Loss : 1.57, Train Accuracy : 0.47, Validation Loss : 1.24, Validation Accuracy : 0.65
Epoch : 561, Train Loss : 1.55, Train Accuracy : 0.48, Validation Loss : 1.24, Validation Accuracy : 0.65
Epoch : 562, Train Loss : 1.54, Train Accuracy : 0.48, Validation Loss : 1.22, Validation Accuracy : 0.65
Epoch : 563, Train Loss : 1.57, Train Accuracy : 0.47, Validation Loss : 1.26, Validation Accuracy : 0.66
Epoch : 564, Train Loss : 1.57, Train Accuracy : 0.47, Validation Loss : 1.21, Validation Accuracy : 0.65
Epoch : 565, Train Loss : 1.55, Train Accuracy : 0.48, Validation Loss : 1.22, Validation Accuracy : 0.65
Epoch : 566, Train Loss : 1.56, Train Accuracy : 0.48, Validation Loss : 1.21, Validation Accuracy : 0.65
Epoch : 567, Train Loss : 1.55, Train Accuracy : 0.48, Validation Loss : 1.22, Validation Accuracy : 0.65
Epoch : 568, Train Loss : 1.57, Train Accuracy : 0.48, Validation Loss : 1.23, Validation Accuracy : 0.66
Epoch : 569, Train Loss : 1.56, Train Accuracy : 0.48, Validation Loss : 1.22, Validation Accuracy : 0.65
Epoch : 570, Train Loss : 1.57, Train Accuracy : 0.47, Validation Loss : 1.19, Validation Accuracy : 0.66
Epoch : 571, Train Loss : 1.56, Train Accuracy : 0.47, Validation Loss : 1.22, Validation Accuracy : 0.66
Epoch : 572, Train Loss : 1.56, Train Accuracy : 0.48, Validation Loss : 1.22, Validation Accuracy : 0.65
Epoch : 573, Train Loss : 1.56, Train Accuracy : 0.48, Validation Loss : 1.22, Validation Accuracy : 0.66
Epoch : 574, Train Loss : 1.56, Train Accuracy : 0.48, Validation Loss : 1.25, Validation Accuracy : 0.66
Epoch : 575, Train Loss : 1.57, Train Accuracy : 0.48, Validation Loss : 1.22, Validation Accuracy : 0.66
Epoch : 576, Train Loss : 1.54, Train Accuracy : 0.49, Validation Loss : 1.23, Validation Accuracy : 0.64
Epoch : 577, Train Loss : 1.54, Train Accuracy : 0.48, Validation Loss : 1.19, Validation Accuracy : 0.66
Epoch : 578, Train Loss : 1.55, Train Accuracy : 0.48, Validation Loss : 1.23, Validation Accuracy : 0.65
Epoch : 579, Train Loss : 1.55, Train Accuracy : 0.48, Validation Loss : 1.20, Validation Accuracy : 0.67
Epoch : 580, Train Loss : 1.55, Train Accuracy : 0.49, Validation Loss : 1.21, Validation Accuracy : 0.66
Epoch : 581, Train Loss : 1.55, Train Accuracy : 0.49, Validation Loss : 1.19, Validation Accuracy : 0.66
Epoch : 582, Train Loss : 1.56, Train Accuracy : 0.48, Validation Loss : 1.21, Validation Accuracy : 0.65
Epoch : 583, Train Loss : 1.57, Train Accuracy : 0.47, Validation Loss : 1.22, Validation Accuracy : 0.67
Epoch : 584, Train Loss : 1.54, Train Accuracy : 0.48, Validation Loss : 1.20, Validation Accuracy : 0.66
Epoch : 585, Train Loss : 1.55, Train Accuracy : 0.48, Validation Loss : 1.19, Validation Accuracy : 0.66
Epoch : 586, Train Loss : 1.54, Train Accuracy : 0.49, Validation Loss : 1.25, Validation Accuracy : 0.66
Epoch : 587, Train Loss : 1.55, Train Accuracy : 0.48, Validation Loss : 1.22, Validation Accuracy : 0.66
Epoch : 588, Train Loss : 1.55, Train Accuracy : 0.48, Validation Loss : 1.24, Validation Accuracy : 0.65
Epoch : 589, Train Loss : 1.56, Train Accuracy : 0.48, Validation Loss : 1.21, Validation Accuracy : 0.67
Epoch : 590, Train Loss : 1.54, Train Accuracy : 0.49, Validation Loss : 1.22, Validation Accuracy : 0.68
Epoch : 591, Train Loss : 1.55, Train Accuracy : 0.48, Validation Loss : 1.20, Validation Accuracy : 0.68
Epoch : 592, Train Loss : 1.54, Train Accuracy : 0.49, Validation Loss : 1.20, Validation Accuracy : 0.68
Epoch : 593, Train Loss : 1.53, Train Accuracy : 0.50, Validation Loss : 1.18, Validation Accuracy : 0.68
Epoch : 594, Train Loss : 1.53, Train Accuracy : 0.50, Validation Loss : 1.20, Validation Accuracy : 0.68
Epoch : 595, Train Loss : 1.53, Train Accuracy : 0.49, Validation Loss : 1.21, Validation Accuracy : 0.68
Epoch : 596, Train Loss : 1.52, Train Accuracy : 0.50, Validation Loss : 1.16, Validation Accuracy : 0.68
Epoch : 597, Train Loss : 1.54, Train Accuracy : 0.49, Validation Loss : 1.17, Validation Accuracy : 0.69
Epoch : 598, Train Loss : 1.53, Train Accuracy : 0.50, Validation Loss : 1.20, Validation Accuracy : 0.69
Epoch : 599, Train Loss : 1.50, Train Accuracy : 0.51, Validation Loss : 1.18, Validation Accuracy : 0.67
Epoch : 600, Train Loss : 1.53, Train Accuracy : 0.50, Validation Loss : 1.17, Validation Accuracy : 0.68
Epoch : 601, Train Loss : 1.53, Train Accuracy : 0.50, Validation Loss : 1.19, Validation Accuracy : 0.67
Epoch : 602, Train Loss : 1.52, Train Accuracy : 0.50, Validation Loss : 1.17, Validation Accuracy : 0.69
Epoch : 603, Train Loss : 1.51, Train Accuracy : 0.50, Validation Loss : 1.13, Validation Accuracy : 0.69
Epoch : 604, Train Loss : 1.52, Train Accuracy : 0.50, Validation Loss : 1.18, Validation Accuracy : 0.68
Epoch : 605, Train Loss : 1.51, Train Accuracy : 0.50, Validation Loss : 1.15, Validation Accuracy : 0.68
Epoch : 606, Train Loss : 1.53, Train Accuracy : 0.49, Validation Loss : 1.14, Validation Accuracy : 0.69
Epoch : 607, Train Loss : 1.52, Train Accuracy : 0.50, Validation Loss : 1.14, Validation Accuracy : 0.68
Epoch : 608, Train Loss : 1.51, Train Accuracy : 0.50, Validation Loss : 1.15, Validation Accuracy : 0.70
Epoch : 609, Train Loss : 1.50, Train Accuracy : 0.50, Validation Loss : 1.14, Validation Accuracy : 0.69
Epoch : 610, Train Loss : 1.52, Train Accuracy : 0.50, Validation Loss : 1.16, Validation Accuracy : 0.69
Epoch : 611, Train Loss : 1.50, Train Accuracy : 0.51, Validation Loss : 1.18, Validation Accuracy : 0.67
Epoch : 612, Train Loss : 1.51, Train Accuracy : 0.50, Validation Loss : 1.14, Validation Accuracy : 0.68
Epoch : 613, Train Loss : 1.51, Train Accuracy : 0.50, Validation Loss : 1.17, Validation Accuracy : 0.69
Epoch : 614, Train Loss : 1.52, Train Accuracy : 0.49, Validation Loss : 1.14, Validation Accuracy : 0.69
Epoch : 615, Train Loss : 1.50, Train Accuracy : 0.51, Validation Loss : 1.20, Validation Accuracy : 0.68
Epoch : 616, Train Loss : 1.52, Train Accuracy : 0.50, Validation Loss : 1.17, Validation Accuracy : 0.70
Epoch : 617, Train Loss : 1.51, Train Accuracy : 0.51, Validation Loss : 1.14, Validation Accuracy : 0.68
Epoch : 618, Train Loss : 1.51, Train Accuracy : 0.50, Validation Loss : 1.15, Validation Accuracy : 0.69
Epoch : 619, Train Loss : 1.49, Train Accuracy : 0.50, Validation Loss : 1.17, Validation Accuracy : 0.68
Epoch : 620, Train Loss : 1.50, Train Accuracy : 0.51, Validation Loss : 1.13, Validation Accuracy : 0.70
Epoch : 621, Train Loss : 1.50, Train Accuracy : 0.50, Validation Loss : 1.15, Validation Accuracy : 0.69
Epoch : 622, Train Loss : 1.51, Train Accuracy : 0.50, Validation Loss : 1.15, Validation Accuracy : 0.70
Epoch : 623, Train Loss : 1.49, Train Accuracy : 0.51, Validation Loss : 1.13, Validation Accuracy : 0.70
Epoch : 624, Train Loss : 1.49, Train Accuracy : 0.51, Validation Loss : 1.13, Validation Accuracy : 0.70
Epoch : 625, Train Loss : 1.49, Train Accuracy : 0.51, Validation Loss : 1.12, Validation Accuracy : 0.70
Epoch : 626, Train Loss : 1.50, Train Accuracy : 0.50, Validation Loss : 1.13, Validation Accuracy : 0.69
Epoch : 627, Train Loss : 1.50, Train Accuracy : 0.50, Validation Loss : 1.14, Validation Accuracy : 0.70
Epoch : 628, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.09, Validation Accuracy : 0.69
Epoch : 629, Train Loss : 1.50, Train Accuracy : 0.50, Validation Loss : 1.12, Validation Accuracy : 0.70
Epoch : 630, Train Loss : 1.51, Train Accuracy : 0.50, Validation Loss : 1.13, Validation Accuracy : 0.70
Epoch : 631, Train Loss : 1.50, Train Accuracy : 0.50, Validation Loss : 1.14, Validation Accuracy : 0.69
Epoch : 632, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.12, Validation Accuracy : 0.70
Epoch : 633, Train Loss : 1.50, Train Accuracy : 0.50, Validation Loss : 1.11, Validation Accuracy : 0.70
Epoch : 634, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.12, Validation Accuracy : 0.70
Epoch : 635, Train Loss : 1.49, Train Accuracy : 0.51, Validation Loss : 1.11, Validation Accuracy : 0.70
Epoch : 636, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.13, Validation Accuracy : 0.70
Epoch : 637, Train Loss : 1.49, Train Accuracy : 0.51, Validation Loss : 1.11, Validation Accuracy : 0.70
Epoch : 638, Train Loss : 1.49, Train Accuracy : 0.50, Validation Loss : 1.12, Validation Accuracy : 0.70
Epoch : 639, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.11, Validation Accuracy : 0.70
Epoch : 640, Train Loss : 1.49, Train Accuracy : 0.51, Validation Loss : 1.11, Validation Accuracy : 0.70
Epoch : 641, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.12, Validation Accuracy : 0.70
Epoch : 642, Train Loss : 1.49, Train Accuracy : 0.50, Validation Loss : 1.09, Validation Accuracy : 0.70
Epoch : 643, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.12, Validation Accuracy : 0.71
Epoch : 644, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.10, Validation Accuracy : 0.70
Epoch : 645, Train Loss : 1.50, Train Accuracy : 0.50, Validation Loss : 1.11, Validation Accuracy : 0.70
Epoch : 646, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.11, Validation Accuracy : 0.70
Epoch : 647, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.09, Validation Accuracy : 0.69
Epoch : 648, Train Loss : 1.47, Train Accuracy : 0.52, Validation Loss : 1.13, Validation Accuracy : 0.68
Epoch : 649, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.12, Validation Accuracy : 0.69
Epoch : 650, Train Loss : 1.49, Train Accuracy : 0.50, Validation Loss : 1.10, Validation Accuracy : 0.70
Epoch : 651, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.09, Validation Accuracy : 0.71
Epoch : 652, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.10, Validation Accuracy : 0.71
Epoch : 653, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.13, Validation Accuracy : 0.70
Epoch : 654, Train Loss : 1.49, Train Accuracy : 0.50, Validation Loss : 1.12, Validation Accuracy : 0.70
Epoch : 655, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.13, Validation Accuracy : 0.69
Epoch : 656, Train Loss : 1.47, Train Accuracy : 0.52, Validation Loss : 1.10, Validation Accuracy : 0.70
Epoch : 657, Train Loss : 1.50, Train Accuracy : 0.50, Validation Loss : 1.13, Validation Accuracy : 0.70
Epoch : 658, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.09, Validation Accuracy : 0.71
Epoch : 659, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.11, Validation Accuracy : 0.70
Epoch : 660, Train Loss : 1.49, Train Accuracy : 0.50, Validation Loss : 1.10, Validation Accuracy : 0.70
Epoch : 661, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.12, Validation Accuracy : 0.71
Epoch : 662, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.10, Validation Accuracy : 0.71
Epoch : 663, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.10, Validation Accuracy : 0.70
Epoch : 664, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.12, Validation Accuracy : 0.69
Epoch : 665, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.12, Validation Accuracy : 0.70
Epoch : 666, Train Loss : 1.46, Train Accuracy : 0.52, Validation Loss : 1.15, Validation Accuracy : 0.70
Epoch : 667, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.08, Validation Accuracy : 0.71
Epoch : 668, Train Loss : 1.46, Train Accuracy : 0.51, Validation Loss : 1.09, Validation Accuracy : 0.70
Epoch : 669, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.10, Validation Accuracy : 0.71
Epoch : 670, Train Loss : 1.49, Train Accuracy : 0.50, Validation Loss : 1.13, Validation Accuracy : 0.70
Epoch : 671, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.09, Validation Accuracy : 0.71
Epoch : 672, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.10, Validation Accuracy : 0.70
Epoch : 673, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.12, Validation Accuracy : 0.69
Epoch : 674, Train Loss : 1.46, Train Accuracy : 0.51, Validation Loss : 1.09, Validation Accuracy : 0.71
Epoch : 675, Train Loss : 1.48, Train Accuracy : 0.50, Validation Loss : 1.11, Validation Accuracy : 0.69
Epoch : 676, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.08, Validation Accuracy : 0.70
Epoch : 677, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.07, Validation Accuracy : 0.70
Epoch : 678, Train Loss : 1.46, Train Accuracy : 0.52, Validation Loss : 1.09, Validation Accuracy : 0.72
Epoch : 679, Train Loss : 1.46, Train Accuracy : 0.52, Validation Loss : 1.09, Validation Accuracy : 0.71
Epoch : 680, Train Loss : 1.49, Train Accuracy : 0.50, Validation Loss : 1.13, Validation Accuracy : 0.70
Epoch : 681, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.09, Validation Accuracy : 0.71
Epoch : 682, Train Loss : 1.47, Train Accuracy : 0.52, Validation Loss : 1.06, Validation Accuracy : 0.71
Epoch : 683, Train Loss : 1.46, Train Accuracy : 0.52, Validation Loss : 1.10, Validation Accuracy : 0.70
Epoch : 684, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.09, Validation Accuracy : 0.72
Epoch : 685, Train Loss : 1.48, Train Accuracy : 0.50, Validation Loss : 1.11, Validation Accuracy : 0.71
Epoch : 686, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.07, Validation Accuracy : 0.70
Epoch : 687, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.11, Validation Accuracy : 0.70
Epoch : 688, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.09, Validation Accuracy : 0.71
Epoch : 689, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.07, Validation Accuracy : 0.71
Epoch : 690, Train Loss : 1.46, Train Accuracy : 0.52, Validation Loss : 1.06, Validation Accuracy : 0.70
Epoch : 691, Train Loss : 1.46, Train Accuracy : 0.51, Validation Loss : 1.11, Validation Accuracy : 0.71
Epoch : 692, Train Loss : 1.46, Train Accuracy : 0.51, Validation Loss : 1.07, Validation Accuracy : 0.71
Epoch : 693, Train Loss : 1.46, Train Accuracy : 0.51, Validation Loss : 1.07, Validation Accuracy : 0.70
Epoch : 694, Train Loss : 1.45, Train Accuracy : 0.51, Validation Loss : 1.09, Validation Accuracy : 0.70
Epoch : 695, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.07, Validation Accuracy : 0.71
Epoch : 696, Train Loss : 1.45, Train Accuracy : 0.51, Validation Loss : 1.08, Validation Accuracy : 0.71
Epoch : 697, Train Loss : 1.46, Train Accuracy : 0.52, Validation Loss : 1.08, Validation Accuracy : 0.71
Epoch : 698, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.10, Validation Accuracy : 0.72
Epoch : 699, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.12, Validation Accuracy : 0.69
Epoch : 700, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.07, Validation Accuracy : 0.72
Epoch : 701, Train Loss : 1.46, Train Accuracy : 0.52, Validation Loss : 1.07, Validation Accuracy : 0.71
Epoch : 702, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.07, Validation Accuracy : 0.71
Epoch : 703, Train Loss : 1.46, Train Accuracy : 0.51, Validation Loss : 1.08, Validation Accuracy : 0.72
Epoch : 704, Train Loss : 1.46, Train Accuracy : 0.51, Validation Loss : 1.08, Validation Accuracy : 0.70
Epoch : 705, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.07, Validation Accuracy : 0.71
Epoch : 706, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.07, Validation Accuracy : 0.72
Epoch : 707, Train Loss : 1.45, Train Accuracy : 0.51, Validation Loss : 1.07, Validation Accuracy : 0.71
Epoch : 708, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.05, Validation Accuracy : 0.71
Epoch : 709, Train Loss : 1.43, Train Accuracy : 0.53, Validation Loss : 1.08, Validation Accuracy : 0.70
Epoch : 710, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.11, Validation Accuracy : 0.68
Epoch : 711, Train Loss : 1.46, Train Accuracy : 0.51, Validation Loss : 1.05, Validation Accuracy : 0.71
Epoch : 712, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.05, Validation Accuracy : 0.71
Epoch : 713, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.07, Validation Accuracy : 0.72
Epoch : 714, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 715, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.07, Validation Accuracy : 0.71
Epoch : 716, Train Loss : 1.45, Train Accuracy : 0.51, Validation Loss : 1.07, Validation Accuracy : 0.71
Epoch : 717, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.08, Validation Accuracy : 0.71
Epoch : 718, Train Loss : 1.45, Train Accuracy : 0.51, Validation Loss : 1.09, Validation Accuracy : 0.72
Epoch : 719, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.05, Validation Accuracy : 0.71
Epoch : 720, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 721, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 722, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.07, Validation Accuracy : 0.72
Epoch : 723, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.07, Validation Accuracy : 0.72
Epoch : 724, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.07, Validation Accuracy : 0.72
Epoch : 725, Train Loss : 1.45, Train Accuracy : 0.51, Validation Loss : 1.11, Validation Accuracy : 0.72
Epoch : 726, Train Loss : 1.42, Train Accuracy : 0.53, Validation Loss : 1.06, Validation Accuracy : 0.70
Epoch : 727, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.07, Validation Accuracy : 0.71
Epoch : 728, Train Loss : 1.43, Train Accuracy : 0.53, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 729, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.04, Validation Accuracy : 0.72
Epoch : 730, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.07, Validation Accuracy : 0.71
Epoch : 731, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.09, Validation Accuracy : 0.72
Epoch : 732, Train Loss : 1.43, Train Accuracy : 0.53, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 733, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.07, Validation Accuracy : 0.71
Epoch : 734, Train Loss : 1.44, Train Accuracy : 0.53, Validation Loss : 1.04, Validation Accuracy : 0.72
Epoch : 735, Train Loss : 1.45, Train Accuracy : 0.51, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 736, Train Loss : 1.46, Train Accuracy : 0.51, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 737, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 738, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 739, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.08, Validation Accuracy : 0.72
Epoch : 740, Train Loss : 1.43, Train Accuracy : 0.53, Validation Loss : 1.06, Validation Accuracy : 0.71
Epoch : 741, Train Loss : 1.45, Train Accuracy : 0.51, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 742, Train Loss : 1.43, Train Accuracy : 0.53, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 743, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.04, Validation Accuracy : 0.72
Epoch : 744, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.08, Validation Accuracy : 0.71
Epoch : 745, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 746, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.04, Validation Accuracy : 0.71
Epoch : 747, Train Loss : 1.40, Train Accuracy : 0.54, Validation Loss : 1.04, Validation Accuracy : 0.72
Epoch : 748, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.07, Validation Accuracy : 0.71
Epoch : 749, Train Loss : 1.43, Train Accuracy : 0.53, Validation Loss : 1.07, Validation Accuracy : 0.70
Epoch : 750, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 751, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.04, Validation Accuracy : 0.72
Epoch : 752, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.04, Validation Accuracy : 0.72
Epoch : 753, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.08, Validation Accuracy : 0.72
Epoch : 754, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.08, Validation Accuracy : 0.71
Epoch : 755, Train Loss : 1.43, Train Accuracy : 0.53, Validation Loss : 1.03, Validation Accuracy : 0.72
Epoch : 756, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 757, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 758, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.04, Validation Accuracy : 0.72
Epoch : 759, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.04, Validation Accuracy : 0.72
Epoch : 760, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.04, Validation Accuracy : 0.72
Epoch : 761, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 762, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 763, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.04, Validation Accuracy : 0.72
Epoch : 764, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 765, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.07, Validation Accuracy : 0.72
Epoch : 766, Train Loss : 1.43, Train Accuracy : 0.53, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 767, Train Loss : 1.42, Train Accuracy : 0.53, Validation Loss : 1.07, Validation Accuracy : 0.71
Epoch : 768, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.02, Validation Accuracy : 0.72
Epoch : 769, Train Loss : 1.43, Train Accuracy : 0.53, Validation Loss : 1.04, Validation Accuracy : 0.73
Epoch : 770, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.10, Validation Accuracy : 0.69
Epoch : 771, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.08, Validation Accuracy : 0.71
Epoch : 772, Train Loss : 1.42, Train Accuracy : 0.53, Validation Loss : 1.08, Validation Accuracy : 0.71
Epoch : 773, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.08, Validation Accuracy : 0.70
Epoch : 774, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.05, Validation Accuracy : 0.73
Epoch : 775, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 776, Train Loss : 1.43, Train Accuracy : 0.53, Validation Loss : 1.07, Validation Accuracy : 0.72
Epoch : 777, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.03, Validation Accuracy : 0.73
Epoch : 778, Train Loss : 1.42, Train Accuracy : 0.53, Validation Loss : 1.02, Validation Accuracy : 0.73
Epoch : 779, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.04, Validation Accuracy : 0.73
Epoch : 780, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.03, Validation Accuracy : 0.73
Epoch : 781, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 782, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.03, Validation Accuracy : 0.71
Epoch : 783, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.04, Validation Accuracy : 0.73
Epoch : 784, Train Loss : 1.42, Train Accuracy : 0.53, Validation Loss : 1.00, Validation Accuracy : 0.72
Epoch : 785, Train Loss : 1.42, Train Accuracy : 0.53, Validation Loss : 1.03, Validation Accuracy : 0.72
Epoch : 786, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.02, Validation Accuracy : 0.73
Epoch : 787, Train Loss : 1.42, Train Accuracy : 0.53, Validation Loss : 1.04, Validation Accuracy : 0.73
Epoch : 788, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.02, Validation Accuracy : 0.73
Epoch : 789, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.02, Validation Accuracy : 0.72
Epoch : 790, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.04, Validation Accuracy : 0.73
Epoch : 791, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 792, Train Loss : 1.42, Train Accuracy : 0.53, Validation Loss : 1.02, Validation Accuracy : 0.73
Epoch : 793, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.03, Validation Accuracy : 0.73
Epoch : 794, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.09, Validation Accuracy : 0.72
Epoch : 795, Train Loss : 1.40, Train Accuracy : 0.54, Validation Loss : 1.06, Validation Accuracy : 0.73
Epoch : 796, Train Loss : 1.43, Train Accuracy : 0.53, Validation Loss : 1.03, Validation Accuracy : 0.72
Epoch : 797, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.02, Validation Accuracy : 0.71
Epoch : 798, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 799, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 800, Train Loss : 1.44, Train Accuracy : 0.51, Validation Loss : 1.03, Validation Accuracy : 0.73
Epoch : 801, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.10, Validation Accuracy : 0.69
Epoch : 802, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.03, Validation Accuracy : 0.72
Epoch : 803, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.04, Validation Accuracy : 0.72
Epoch : 804, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.02, Validation Accuracy : 0.72
Epoch : 805, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.02, Validation Accuracy : 0.72
Epoch : 806, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.07, Validation Accuracy : 0.71
Epoch : 807, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.00, Validation Accuracy : 0.73
Epoch : 808, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.02, Validation Accuracy : 0.73
Epoch : 809, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.03, Validation Accuracy : 0.73
Epoch : 810, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.03, Validation Accuracy : 0.71
Epoch : 811, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.02, Validation Accuracy : 0.72
Epoch : 812, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 813, Train Loss : 1.40, Train Accuracy : 0.54, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 814, Train Loss : 1.41, Train Accuracy : 0.52, Validation Loss : 1.03, Validation Accuracy : 0.73
Epoch : 815, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.03, Validation Accuracy : 0.73
Epoch : 816, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.04, Validation Accuracy : 0.72
Epoch : 817, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 818, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 819, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.03, Validation Accuracy : 0.72
Epoch : 820, Train Loss : 1.42, Train Accuracy : 0.53, Validation Loss : 1.00, Validation Accuracy : 0.73
Epoch : 821, Train Loss : 1.42, Train Accuracy : 0.53, Validation Loss : 1.03, Validation Accuracy : 0.73
Epoch : 822, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.03, Validation Accuracy : 0.72
Epoch : 823, Train Loss : 1.40, Train Accuracy : 0.54, Validation Loss : 1.02, Validation Accuracy : 0.73
Epoch : 824, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 825, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.00, Validation Accuracy : 0.73
Epoch : 826, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 827, Train Loss : 1.41, Train Accuracy : 0.54, Validation Loss : 1.00, Validation Accuracy : 0.73
Epoch : 828, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 0.98, Validation Accuracy : 0.73
Epoch : 829, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.02, Validation Accuracy : 0.73
Epoch : 830, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.02, Validation Accuracy : 0.73
Epoch : 831, Train Loss : 1.41, Train Accuracy : 0.52, Validation Loss : 1.03, Validation Accuracy : 0.73
Epoch : 832, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 0.99, Validation Accuracy : 0.73
Epoch : 833, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.00, Validation Accuracy : 0.74
Epoch : 834, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.02, Validation Accuracy : 0.73
Epoch : 835, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.00, Validation Accuracy : 0.73
Epoch : 836, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.00, Validation Accuracy : 0.72
Epoch : 837, Train Loss : 1.40, Train Accuracy : 0.54, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 838, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.00, Validation Accuracy : 0.73
Epoch : 839, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 840, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.00, Validation Accuracy : 0.74
Epoch : 841, Train Loss : 1.40, Train Accuracy : 0.54, Validation Loss : 1.02, Validation Accuracy : 0.73
Epoch : 842, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 0.99, Validation Accuracy : 0.73
Epoch : 843, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.00, Validation Accuracy : 0.74
Epoch : 844, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.02, Validation Accuracy : 0.73
Epoch : 845, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.00, Validation Accuracy : 0.73
Epoch : 846, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.03, Validation Accuracy : 0.72
Epoch : 847, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.03, Validation Accuracy : 0.72
Epoch : 848, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 0.99, Validation Accuracy : 0.73
Epoch : 849, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 850, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.03, Validation Accuracy : 0.73
Epoch : 851, Train Loss : 1.37, Train Accuracy : 0.55, Validation Loss : 0.99, Validation Accuracy : 0.73
Epoch : 852, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 853, Train Loss : 1.42, Train Accuracy : 0.53, Validation Loss : 1.05, Validation Accuracy : 0.73
Epoch : 854, Train Loss : 1.40, Train Accuracy : 0.54, Validation Loss : 0.99, Validation Accuracy : 0.73
Epoch : 855, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.00, Validation Accuracy : 0.73
Epoch : 856, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 857, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.01, Validation Accuracy : 0.72
Epoch : 858, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 0.99, Validation Accuracy : 0.73
Epoch : 859, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 0.99, Validation Accuracy : 0.73
Epoch : 860, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.00, Validation Accuracy : 0.73
Epoch : 861, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.03, Validation Accuracy : 0.73
Epoch : 862, Train Loss : 1.41, Train Accuracy : 0.52, Validation Loss : 0.98, Validation Accuracy : 0.73
Epoch : 863, Train Loss : 1.38, Train Accuracy : 0.53, Validation Loss : 1.02, Validation Accuracy : 0.73
Epoch : 864, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.00, Validation Accuracy : 0.74
Epoch : 865, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 866, Train Loss : 1.42, Train Accuracy : 0.53, Validation Loss : 1.00, Validation Accuracy : 0.73
Epoch : 867, Train Loss : 1.40, Train Accuracy : 0.54, Validation Loss : 1.02, Validation Accuracy : 0.72
Epoch : 868, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.04, Validation Accuracy : 0.73
Epoch : 869, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 0.99, Validation Accuracy : 0.72
Epoch : 870, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 871, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 1.00, Validation Accuracy : 0.74
Epoch : 872, Train Loss : 1.41, Train Accuracy : 0.52, Validation Loss : 0.99, Validation Accuracy : 0.73
Epoch : 873, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 1.01, Validation Accuracy : 0.74
Epoch : 874, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 875, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 876, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.03, Validation Accuracy : 0.72
Epoch : 877, Train Loss : 1.36, Train Accuracy : 0.55, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 878, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 1.02, Validation Accuracy : 0.73
Epoch : 879, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 0.98, Validation Accuracy : 0.73
Epoch : 880, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.03, Validation Accuracy : 0.72
Epoch : 881, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 1.04, Validation Accuracy : 0.73
Epoch : 882, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 1.00, Validation Accuracy : 0.74
Epoch : 883, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.00, Validation Accuracy : 0.73
Epoch : 884, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 1.02, Validation Accuracy : 0.72
Epoch : 885, Train Loss : 1.41, Train Accuracy : 0.52, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 886, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.01, Validation Accuracy : 0.72
Epoch : 887, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 1.00, Validation Accuracy : 0.74
Epoch : 888, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 0.98, Validation Accuracy : 0.73
Epoch : 889, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 0.99, Validation Accuracy : 0.74
Epoch : 890, Train Loss : 1.38, Train Accuracy : 0.53, Validation Loss : 0.99, Validation Accuracy : 0.74
Epoch : 891, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 892, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.00, Validation Accuracy : 0.73
Epoch : 893, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 0.99, Validation Accuracy : 0.73
Epoch : 894, Train Loss : 1.36, Train Accuracy : 0.54, Validation Loss : 1.02, Validation Accuracy : 0.74
Epoch : 895, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 0.99, Validation Accuracy : 0.74
Epoch : 896, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.00, Validation Accuracy : 0.73
Epoch : 897, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 0.96, Validation Accuracy : 0.73
Epoch : 898, Train Loss : 1.36, Train Accuracy : 0.55, Validation Loss : 0.99, Validation Accuracy : 0.73
Epoch : 899, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 0.97, Validation Accuracy : 0.73
Epoch : 900, Train Loss : 1.37, Train Accuracy : 0.55, Validation Loss : 0.99, Validation Accuracy : 0.73
Epoch : 901, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.02, Validation Accuracy : 0.72
Epoch : 902, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.01, Validation Accuracy : 0.74
Epoch : 903, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 0.97, Validation Accuracy : 0.74
Epoch : 904, Train Loss : 1.36, Train Accuracy : 0.55, Validation Loss : 0.97, Validation Accuracy : 0.74
Epoch : 905, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.00, Validation Accuracy : 0.74
Epoch : 906, Train Loss : 1.37, Train Accuracy : 0.55, Validation Loss : 0.98, Validation Accuracy : 0.74
Epoch : 907, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.02, Validation Accuracy : 0.73
Epoch : 908, Train Loss : 1.38, Train Accuracy : 0.53, Validation Loss : 0.99, Validation Accuracy : 0.73
Epoch : 909, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 0.98, Validation Accuracy : 0.73
Epoch : 910, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 0.99, Validation Accuracy : 0.72
Epoch : 911, Train Loss : 1.36, Train Accuracy : 0.55, Validation Loss : 0.99, Validation Accuracy : 0.74
Epoch : 912, Train Loss : 1.38, Train Accuracy : 0.53, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 913, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 0.99, Validation Accuracy : 0.73
Epoch : 914, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 0.96, Validation Accuracy : 0.74
Epoch : 915, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 0.98, Validation Accuracy : 0.74
Epoch : 916, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 0.97, Validation Accuracy : 0.74
Epoch : 917, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.00, Validation Accuracy : 0.73
Epoch : 918, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 0.97, Validation Accuracy : 0.74
Epoch : 919, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 0.96, Validation Accuracy : 0.74
Epoch : 920, Train Loss : 1.36, Train Accuracy : 0.55, Validation Loss : 0.98, Validation Accuracy : 0.74
Epoch : 921, Train Loss : 1.36, Train Accuracy : 0.54, Validation Loss : 0.99, Validation Accuracy : 0.74
Epoch : 922, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 0.99, Validation Accuracy : 0.74
Epoch : 923, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 0.97, Validation Accuracy : 0.74
Epoch : 924, Train Loss : 1.35, Train Accuracy : 0.55, Validation Loss : 1.00, Validation Accuracy : 0.74
Epoch : 925, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 0.99, Validation Accuracy : 0.73
Epoch : 926, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 0.98, Validation Accuracy : 0.74
Epoch : 927, Train Loss : 1.36, Train Accuracy : 0.55, Validation Loss : 0.97, Validation Accuracy : 0.74
Epoch : 928, Train Loss : 1.36, Train Accuracy : 0.54, Validation Loss : 0.96, Validation Accuracy : 0.74
Epoch : 929, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.00, Validation Accuracy : 0.74
Epoch : 930, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 1.03, Validation Accuracy : 0.73
Epoch : 931, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 0.95, Validation Accuracy : 0.74
Epoch : 932, Train Loss : 1.38, Train Accuracy : 0.53, Validation Loss : 0.99, Validation Accuracy : 0.71
Epoch : 933, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 0.98, Validation Accuracy : 0.74
Epoch : 934, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 0.98, Validation Accuracy : 0.74
Epoch : 935, Train Loss : 1.34, Train Accuracy : 0.55, Validation Loss : 0.97, Validation Accuracy : 0.74
Epoch : 936, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.00, Validation Accuracy : 0.73
Epoch : 937, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 0.97, Validation Accuracy : 0.74
Epoch : 938, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.01, Validation Accuracy : 0.72
Epoch : 939, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 0.96, Validation Accuracy : 0.74
Epoch : 940, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 0.98, Validation Accuracy : 0.73
Epoch : 941, Train Loss : 1.35, Train Accuracy : 0.55, Validation Loss : 0.98, Validation Accuracy : 0.74
Epoch : 942, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 1.01, Validation Accuracy : 0.74
Epoch : 943, Train Loss : 1.36, Train Accuracy : 0.55, Validation Loss : 1.01, Validation Accuracy : 0.74
Epoch : 944, Train Loss : 1.38, Train Accuracy : 0.53, Validation Loss : 1.00, Validation Accuracy : 0.74
Epoch : 945, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.00, Validation Accuracy : 0.74
Epoch : 946, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 0.97, Validation Accuracy : 0.73
Epoch : 947, Train Loss : 1.34, Train Accuracy : 0.55, Validation Loss : 0.97, Validation Accuracy : 0.74
Epoch : 948, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 1.02, Validation Accuracy : 0.72
Epoch : 949, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 0.97, Validation Accuracy : 0.74
Epoch : 950, Train Loss : 1.36, Train Accuracy : 0.54, Validation Loss : 0.97, Validation Accuracy : 0.73
Epoch : 951, Train Loss : 1.36, Train Accuracy : 0.55, Validation Loss : 0.98, Validation Accuracy : 0.74
Epoch : 952, Train Loss : 1.36, Train Accuracy : 0.55, Validation Loss : 0.99, Validation Accuracy : 0.74
Epoch : 953, Train Loss : 1.36, Train Accuracy : 0.54, Validation Loss : 0.96, Validation Accuracy : 0.74
Epoch : 954, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 0.99, Validation Accuracy : 0.74
Epoch : 955, Train Loss : 1.35, Train Accuracy : 0.55, Validation Loss : 1.04, Validation Accuracy : 0.72
Epoch : 956, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 0.99, Validation Accuracy : 0.73
Epoch : 957, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 0.96, Validation Accuracy : 0.75
Epoch : 958, Train Loss : 1.36, Train Accuracy : 0.54, Validation Loss : 0.95, Validation Accuracy : 0.75
Epoch : 959, Train Loss : 1.35, Train Accuracy : 0.55, Validation Loss : 0.96, Validation Accuracy : 0.73
Epoch : 960, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 961, Train Loss : 1.34, Train Accuracy : 0.55, Validation Loss : 0.95, Validation Accuracy : 0.75
Epoch : 962, Train Loss : 1.37, Train Accuracy : 0.55, Validation Loss : 0.97, Validation Accuracy : 0.74
Epoch : 963, Train Loss : 1.35, Train Accuracy : 0.55, Validation Loss : 0.96, Validation Accuracy : 0.75
Epoch : 964, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 0.98, Validation Accuracy : 0.75
Epoch : 965, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 0.95, Validation Accuracy : 0.74
Epoch : 966, Train Loss : 1.37, Train Accuracy : 0.53, Validation Loss : 0.97, Validation Accuracy : 0.74
Epoch : 967, Train Loss : 1.35, Train Accuracy : 0.55, Validation Loss : 0.95, Validation Accuracy : 0.75
Epoch : 968, Train Loss : 1.36, Train Accuracy : 0.54, Validation Loss : 0.99, Validation Accuracy : 0.73
Epoch : 969, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 0.98, Validation Accuracy : 0.75
Epoch : 970, Train Loss : 1.36, Train Accuracy : 0.54, Validation Loss : 0.95, Validation Accuracy : 0.75
Epoch : 971, Train Loss : 1.36, Train Accuracy : 0.55, Validation Loss : 0.96, Validation Accuracy : 0.74
Epoch : 972, Train Loss : 1.36, Train Accuracy : 0.55, Validation Loss : 0.98, Validation Accuracy : 0.74
Epoch : 973, Train Loss : 1.35, Train Accuracy : 0.55, Validation Loss : 0.95, Validation Accuracy : 0.74
Epoch : 974, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 0.95, Validation Accuracy : 0.74
Epoch : 975, Train Loss : 1.37, Train Accuracy : 0.53, Validation Loss : 0.97, Validation Accuracy : 0.73
Epoch : 976, Train Loss : 1.36, Train Accuracy : 0.54, Validation Loss : 0.99, Validation Accuracy : 0.74
Epoch : 977, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 0.96, Validation Accuracy : 0.75
Epoch : 978, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 0.97, Validation Accuracy : 0.73
Epoch : 979, Train Loss : 1.35, Train Accuracy : 0.55, Validation Loss : 0.97, Validation Accuracy : 0.74
Epoch : 980, Train Loss : 1.36, Train Accuracy : 0.54, Validation Loss : 0.99, Validation Accuracy : 0.74
Epoch : 981, Train Loss : 1.34, Train Accuracy : 0.55, Validation Loss : 0.94, Validation Accuracy : 0.75
Epoch : 982, Train Loss : 1.36, Train Accuracy : 0.54, Validation Loss : 0.95, Validation Accuracy : 0.75
Epoch : 983, Train Loss : 1.36, Train Accuracy : 0.55, Validation Loss : 0.99, Validation Accuracy : 0.74
Epoch : 984, Train Loss : 1.35, Train Accuracy : 0.55, Validation Loss : 0.96, Validation Accuracy : 0.74
Epoch : 985, Train Loss : 1.36, Train Accuracy : 0.55, Validation Loss : 1.03, Validation Accuracy : 0.72
Epoch : 986, Train Loss : 1.36, Train Accuracy : 0.55, Validation Loss : 0.96, Validation Accuracy : 0.74
Epoch : 987, Train Loss : 1.36, Train Accuracy : 0.55, Validation Loss : 0.98, Validation Accuracy : 0.75
Epoch : 988, Train Loss : 1.34, Train Accuracy : 0.55, Validation Loss : 0.97, Validation Accuracy : 0.73
Epoch : 989, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 0.99, Validation Accuracy : 0.73
Epoch : 990, Train Loss : 1.36, Train Accuracy : 0.55, Validation Loss : 0.97, Validation Accuracy : 0.74
Epoch : 991, Train Loss : 1.34, Train Accuracy : 0.55, Validation Loss : 0.97, Validation Accuracy : 0.75
Epoch : 992, Train Loss : 1.36, Train Accuracy : 0.54, Validation Loss : 0.97, Validation Accuracy : 0.75
Epoch : 993, Train Loss : 1.35, Train Accuracy : 0.55, Validation Loss : 0.95, Validation Accuracy : 0.75
Epoch : 994, Train Loss : 1.33, Train Accuracy : 0.56, Validation Loss : 0.98, Validation Accuracy : 0.74
Epoch : 995, Train Loss : 1.34, Train Accuracy : 0.56, Validation Loss : 0.97, Validation Accuracy : 0.74
Epoch : 996, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 0.96, Validation Accuracy : 0.75
Epoch : 997, Train Loss : 1.35, Train Accuracy : 0.55, Validation Loss : 0.97, Validation Accuracy : 0.74
Epoch : 998, Train Loss : 1.35, Train Accuracy : 0.55, Validation Loss : 0.96, Validation Accuracy : 0.75
Epoch : 999, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 0.97, Validation Accuracy : 0.74



















In [ ]:



    


fig, (ax1, ax2) = plt.subplots(1,2, figsize=(15,6))

fig.suptitle(f"model_nn_4_layers_simple : 1000 Epochs, 0.001 SGD", fontsize=16)
ax1.plot(history2['train_acc'], label='train accuracy')
ax1.plot(history2['valid_acc'], label='valid accuracy')
ax1.legend()


ax2.plot(history2['train_loss'], label='train loss')
ax2.plot(history2['valid_loss'], label='valid loss')
ax2.legend()

fig.show()



    















    




























Test Case : n_epoch = 500, lr=0.01, SGD, final_acc = 73%












In [ ]:



    


model_4_layers = NNModel_4Layers(input_size, output_size)
history3 = fit(model_4_layers, train_dl, test_dl, 500, 0.01, optim=torch.optim.SGD)



    















    






Epoch : 0, Train Loss : 2.33, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 1, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 2, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 3, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 4, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 5, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 6, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 7, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 8, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 9, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 10, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 11, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 12, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 13, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 14, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 15, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 16, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 17, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 18, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 19, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 20, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 21, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 22, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 23, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 24, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 25, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 26, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.13
Epoch : 27, Train Loss : 2.30, Train Accuracy : 0.13, Validation Loss : 2.27, Validation Accuracy : 0.15
Epoch : 28, Train Loss : 2.29, Train Accuracy : 0.14, Validation Loss : 2.23, Validation Accuracy : 0.16
Epoch : 29, Train Loss : 2.27, Train Accuracy : 0.14, Validation Loss : 2.23, Validation Accuracy : 0.16
Epoch : 30, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 31, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.26, Validation Accuracy : 0.16
Epoch : 32, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 33, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.22, Validation Accuracy : 0.16
Epoch : 34, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.17
Epoch : 35, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.16
Epoch : 36, Train Loss : 2.24, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 37, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 38, Train Loss : 2.23, Train Accuracy : 0.16, Validation Loss : 2.20, Validation Accuracy : 0.16
Epoch : 39, Train Loss : 2.23, Train Accuracy : 0.17, Validation Loss : 2.20, Validation Accuracy : 0.19
Epoch : 40, Train Loss : 2.22, Train Accuracy : 0.18, Validation Loss : 2.17, Validation Accuracy : 0.21
Epoch : 41, Train Loss : 2.21, Train Accuracy : 0.18, Validation Loss : 2.15, Validation Accuracy : 0.25
Epoch : 42, Train Loss : 2.19, Train Accuracy : 0.19, Validation Loss : 2.13, Validation Accuracy : 0.24
Epoch : 43, Train Loss : 2.17, Train Accuracy : 0.20, Validation Loss : 2.11, Validation Accuracy : 0.27
Epoch : 44, Train Loss : 2.14, Train Accuracy : 0.22, Validation Loss : 2.07, Validation Accuracy : 0.28
Epoch : 45, Train Loss : 2.13, Train Accuracy : 0.22, Validation Loss : 2.08, Validation Accuracy : 0.25
Epoch : 46, Train Loss : 2.12, Train Accuracy : 0.22, Validation Loss : 2.07, Validation Accuracy : 0.26
Epoch : 47, Train Loss : 2.10, Train Accuracy : 0.23, Validation Loss : 2.08, Validation Accuracy : 0.29
Epoch : 48, Train Loss : 2.11, Train Accuracy : 0.22, Validation Loss : 2.08, Validation Accuracy : 0.28
Epoch : 49, Train Loss : 2.10, Train Accuracy : 0.23, Validation Loss : 2.00, Validation Accuracy : 0.28
Epoch : 50, Train Loss : 2.09, Train Accuracy : 0.23, Validation Loss : 2.17, Validation Accuracy : 0.23
Epoch : 51, Train Loss : 2.07, Train Accuracy : 0.24, Validation Loss : 1.98, Validation Accuracy : 0.31
Epoch : 52, Train Loss : 2.05, Train Accuracy : 0.25, Validation Loss : 1.95, Validation Accuracy : 0.31
Epoch : 53, Train Loss : 2.06, Train Accuracy : 0.24, Validation Loss : 2.00, Validation Accuracy : 0.28
Epoch : 54, Train Loss : 2.05, Train Accuracy : 0.24, Validation Loss : 1.92, Validation Accuracy : 0.30
Epoch : 55, Train Loss : 2.05, Train Accuracy : 0.25, Validation Loss : 1.98, Validation Accuracy : 0.32
Epoch : 56, Train Loss : 2.05, Train Accuracy : 0.25, Validation Loss : 1.90, Validation Accuracy : 0.33
Epoch : 57, Train Loss : 2.03, Train Accuracy : 0.25, Validation Loss : 1.91, Validation Accuracy : 0.33
Epoch : 58, Train Loss : 2.02, Train Accuracy : 0.27, Validation Loss : 1.90, Validation Accuracy : 0.36
Epoch : 59, Train Loss : 2.02, Train Accuracy : 0.28, Validation Loss : 1.88, Validation Accuracy : 0.40
Epoch : 60, Train Loss : 1.98, Train Accuracy : 0.30, Validation Loss : 1.85, Validation Accuracy : 0.39
Epoch : 61, Train Loss : 1.95, Train Accuracy : 0.32, Validation Loss : 1.81, Validation Accuracy : 0.43
Epoch : 62, Train Loss : 1.93, Train Accuracy : 0.32, Validation Loss : 1.75, Validation Accuracy : 0.45
Epoch : 63, Train Loss : 1.93, Train Accuracy : 0.32, Validation Loss : 1.93, Validation Accuracy : 0.36
Epoch : 64, Train Loss : 1.91, Train Accuracy : 0.32, Validation Loss : 1.78, Validation Accuracy : 0.41
Epoch : 65, Train Loss : 1.90, Train Accuracy : 0.33, Validation Loss : 1.69, Validation Accuracy : 0.45
Epoch : 66, Train Loss : 1.91, Train Accuracy : 0.32, Validation Loss : 1.71, Validation Accuracy : 0.48
Epoch : 67, Train Loss : 1.91, Train Accuracy : 0.33, Validation Loss : 1.71, Validation Accuracy : 0.46
Epoch : 68, Train Loss : 1.87, Train Accuracy : 0.35, Validation Loss : 1.72, Validation Accuracy : 0.45
Epoch : 69, Train Loss : 1.87, Train Accuracy : 0.35, Validation Loss : 1.75, Validation Accuracy : 0.44
Epoch : 70, Train Loss : 1.86, Train Accuracy : 0.36, Validation Loss : 1.74, Validation Accuracy : 0.41
Epoch : 71, Train Loss : 1.85, Train Accuracy : 0.36, Validation Loss : 1.67, Validation Accuracy : 0.50
Epoch : 72, Train Loss : 1.86, Train Accuracy : 0.36, Validation Loss : 1.63, Validation Accuracy : 0.52
Epoch : 73, Train Loss : 1.84, Train Accuracy : 0.37, Validation Loss : 1.65, Validation Accuracy : 0.52
Epoch : 74, Train Loss : 1.82, Train Accuracy : 0.38, Validation Loss : 1.64, Validation Accuracy : 0.47
Epoch : 75, Train Loss : 1.82, Train Accuracy : 0.37, Validation Loss : 1.65, Validation Accuracy : 0.47
Epoch : 76, Train Loss : 1.82, Train Accuracy : 0.37, Validation Loss : 1.71, Validation Accuracy : 0.44
Epoch : 77, Train Loss : 1.81, Train Accuracy : 0.38, Validation Loss : 1.68, Validation Accuracy : 0.46
Epoch : 78, Train Loss : 1.79, Train Accuracy : 0.38, Validation Loss : 1.62, Validation Accuracy : 0.49
Epoch : 79, Train Loss : 1.80, Train Accuracy : 0.38, Validation Loss : 1.50, Validation Accuracy : 0.54
Epoch : 80, Train Loss : 1.80, Train Accuracy : 0.38, Validation Loss : 1.67, Validation Accuracy : 0.48
Epoch : 81, Train Loss : 1.79, Train Accuracy : 0.39, Validation Loss : 1.49, Validation Accuracy : 0.58
Epoch : 82, Train Loss : 1.72, Train Accuracy : 0.42, Validation Loss : 1.58, Validation Accuracy : 0.52
Epoch : 83, Train Loss : 1.72, Train Accuracy : 0.42, Validation Loss : 1.48, Validation Accuracy : 0.58
Epoch : 84, Train Loss : 1.72, Train Accuracy : 0.43, Validation Loss : 1.60, Validation Accuracy : 0.49
Epoch : 85, Train Loss : 1.73, Train Accuracy : 0.42, Validation Loss : 1.43, Validation Accuracy : 0.58
Epoch : 86, Train Loss : 1.70, Train Accuracy : 0.43, Validation Loss : 1.50, Validation Accuracy : 0.53
Epoch : 87, Train Loss : 1.70, Train Accuracy : 0.43, Validation Loss : 1.42, Validation Accuracy : 0.59
Epoch : 88, Train Loss : 1.68, Train Accuracy : 0.44, Validation Loss : 1.38, Validation Accuracy : 0.60
Epoch : 89, Train Loss : 1.69, Train Accuracy : 0.43, Validation Loss : 1.41, Validation Accuracy : 0.58
Epoch : 90, Train Loss : 1.68, Train Accuracy : 0.44, Validation Loss : 1.62, Validation Accuracy : 0.50
Epoch : 91, Train Loss : 1.69, Train Accuracy : 0.44, Validation Loss : 1.56, Validation Accuracy : 0.56
Epoch : 92, Train Loss : 1.68, Train Accuracy : 0.44, Validation Loss : 1.54, Validation Accuracy : 0.53
Epoch : 93, Train Loss : 1.70, Train Accuracy : 0.43, Validation Loss : 1.47, Validation Accuracy : 0.56
Epoch : 94, Train Loss : 1.66, Train Accuracy : 0.45, Validation Loss : 1.46, Validation Accuracy : 0.56
Epoch : 95, Train Loss : 1.67, Train Accuracy : 0.44, Validation Loss : 1.39, Validation Accuracy : 0.59
Epoch : 96, Train Loss : 1.66, Train Accuracy : 0.44, Validation Loss : 1.39, Validation Accuracy : 0.61
Epoch : 97, Train Loss : 1.65, Train Accuracy : 0.45, Validation Loss : 1.63, Validation Accuracy : 0.49
Epoch : 98, Train Loss : 1.65, Train Accuracy : 0.45, Validation Loss : 1.44, Validation Accuracy : 0.56
Epoch : 99, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.89, Validation Accuracy : 0.41
Epoch : 100, Train Loss : 1.68, Train Accuracy : 0.44, Validation Loss : 1.44, Validation Accuracy : 0.60
Epoch : 101, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.55, Validation Accuracy : 0.50
Epoch : 102, Train Loss : 1.64, Train Accuracy : 0.46, Validation Loss : 1.38, Validation Accuracy : 0.58
Epoch : 103, Train Loss : 1.62, Train Accuracy : 0.46, Validation Loss : 1.40, Validation Accuracy : 0.58
Epoch : 104, Train Loss : 1.63, Train Accuracy : 0.45, Validation Loss : 1.37, Validation Accuracy : 0.63
Epoch : 105, Train Loss : 1.63, Train Accuracy : 0.45, Validation Loss : 1.34, Validation Accuracy : 0.62
Epoch : 106, Train Loss : 1.60, Train Accuracy : 0.46, Validation Loss : 1.44, Validation Accuracy : 0.56
Epoch : 107, Train Loss : 1.61, Train Accuracy : 0.46, Validation Loss : 1.39, Validation Accuracy : 0.59
Epoch : 108, Train Loss : 1.62, Train Accuracy : 0.46, Validation Loss : 1.34, Validation Accuracy : 0.63
Epoch : 109, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.36, Validation Accuracy : 0.59
Epoch : 110, Train Loss : 1.61, Train Accuracy : 0.46, Validation Loss : 1.39, Validation Accuracy : 0.55
Epoch : 111, Train Loss : 1.60, Train Accuracy : 0.46, Validation Loss : 1.31, Validation Accuracy : 0.63
Epoch : 112, Train Loss : 1.58, Train Accuracy : 0.47, Validation Loss : 1.28, Validation Accuracy : 0.63
Epoch : 113, Train Loss : 1.60, Train Accuracy : 0.46, Validation Loss : 1.52, Validation Accuracy : 0.52
Epoch : 114, Train Loss : 1.58, Train Accuracy : 0.47, Validation Loss : 1.36, Validation Accuracy : 0.58
Epoch : 115, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.29, Validation Accuracy : 0.64
Epoch : 116, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.48, Validation Accuracy : 0.54
Epoch : 117, Train Loss : 1.58, Train Accuracy : 0.47, Validation Loss : 1.30, Validation Accuracy : 0.61
Epoch : 118, Train Loss : 1.55, Train Accuracy : 0.47, Validation Loss : 1.23, Validation Accuracy : 0.64
Epoch : 119, Train Loss : 1.55, Train Accuracy : 0.48, Validation Loss : 1.29, Validation Accuracy : 0.62
Epoch : 120, Train Loss : 1.57, Train Accuracy : 0.46, Validation Loss : 1.26, Validation Accuracy : 0.64
Epoch : 121, Train Loss : 1.54, Train Accuracy : 0.48, Validation Loss : 1.27, Validation Accuracy : 0.64
Epoch : 122, Train Loss : 1.56, Train Accuracy : 0.47, Validation Loss : 1.30, Validation Accuracy : 0.63
Epoch : 123, Train Loss : 1.56, Train Accuracy : 0.48, Validation Loss : 1.41, Validation Accuracy : 0.57
Epoch : 124, Train Loss : 1.56, Train Accuracy : 0.48, Validation Loss : 1.28, Validation Accuracy : 0.61
Epoch : 125, Train Loss : 1.56, Train Accuracy : 0.48, Validation Loss : 1.33, Validation Accuracy : 0.58
Epoch : 126, Train Loss : 1.56, Train Accuracy : 0.47, Validation Loss : 1.42, Validation Accuracy : 0.55
Epoch : 127, Train Loss : 1.56, Train Accuracy : 0.47, Validation Loss : 1.20, Validation Accuracy : 0.65
Epoch : 128, Train Loss : 1.55, Train Accuracy : 0.48, Validation Loss : 1.35, Validation Accuracy : 0.58
Epoch : 129, Train Loss : 1.55, Train Accuracy : 0.47, Validation Loss : 1.49, Validation Accuracy : 0.50
Epoch : 130, Train Loss : 1.56, Train Accuracy : 0.46, Validation Loss : 1.35, Validation Accuracy : 0.59
Epoch : 131, Train Loss : 1.53, Train Accuracy : 0.48, Validation Loss : 1.25, Validation Accuracy : 0.64
Epoch : 132, Train Loss : 1.53, Train Accuracy : 0.48, Validation Loss : 1.27, Validation Accuracy : 0.65
Epoch : 133, Train Loss : 1.52, Train Accuracy : 0.49, Validation Loss : 1.31, Validation Accuracy : 0.63
Epoch : 134, Train Loss : 1.53, Train Accuracy : 0.49, Validation Loss : 1.27, Validation Accuracy : 0.62
Epoch : 135, Train Loss : 1.53, Train Accuracy : 0.48, Validation Loss : 1.39, Validation Accuracy : 0.56
Epoch : 136, Train Loss : 1.52, Train Accuracy : 0.49, Validation Loss : 1.23, Validation Accuracy : 0.63
Epoch : 137, Train Loss : 1.51, Train Accuracy : 0.49, Validation Loss : 1.30, Validation Accuracy : 0.59
Epoch : 138, Train Loss : 1.51, Train Accuracy : 0.49, Validation Loss : 1.19, Validation Accuracy : 0.64
Epoch : 139, Train Loss : 1.54, Train Accuracy : 0.48, Validation Loss : 1.19, Validation Accuracy : 0.67
Epoch : 140, Train Loss : 1.50, Train Accuracy : 0.49, Validation Loss : 1.47, Validation Accuracy : 0.54
Epoch : 141, Train Loss : 1.51, Train Accuracy : 0.50, Validation Loss : 1.17, Validation Accuracy : 0.67
Epoch : 142, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.23, Validation Accuracy : 0.69
Epoch : 143, Train Loss : 1.46, Train Accuracy : 0.52, Validation Loss : 1.25, Validation Accuracy : 0.65
Epoch : 144, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.37, Validation Accuracy : 0.61
Epoch : 145, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.12, Validation Accuracy : 0.70
Epoch : 146, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.12, Validation Accuracy : 0.70
Epoch : 147, Train Loss : 1.49, Train Accuracy : 0.50, Validation Loss : 1.28, Validation Accuracy : 0.64
Epoch : 148, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.35, Validation Accuracy : 0.58
Epoch : 149, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.42, Validation Accuracy : 0.57
Epoch : 150, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.14, Validation Accuracy : 0.68
Epoch : 151, Train Loss : 1.46, Train Accuracy : 0.51, Validation Loss : 1.19, Validation Accuracy : 0.64
Epoch : 152, Train Loss : 1.45, Train Accuracy : 0.51, Validation Loss : 1.24, Validation Accuracy : 0.64
Epoch : 153, Train Loss : 1.45, Train Accuracy : 0.51, Validation Loss : 1.12, Validation Accuracy : 0.66
Epoch : 154, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.19, Validation Accuracy : 0.64
Epoch : 155, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.07, Validation Accuracy : 0.70
Epoch : 156, Train Loss : 1.42, Train Accuracy : 0.53, Validation Loss : 1.12, Validation Accuracy : 0.68
Epoch : 157, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.27, Validation Accuracy : 0.60
Epoch : 158, Train Loss : 1.46, Train Accuracy : 0.51, Validation Loss : 1.10, Validation Accuracy : 0.69
Epoch : 159, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.21, Validation Accuracy : 0.66
Epoch : 160, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.10, Validation Accuracy : 0.69
Epoch : 161, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.11, Validation Accuracy : 0.70
Epoch : 162, Train Loss : 1.41, Train Accuracy : 0.52, Validation Loss : 1.38, Validation Accuracy : 0.56
Epoch : 163, Train Loss : 1.42, Train Accuracy : 0.53, Validation Loss : 1.05, Validation Accuracy : 0.71
Epoch : 164, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.03, Validation Accuracy : 0.72
Epoch : 165, Train Loss : 1.42, Train Accuracy : 0.53, Validation Loss : 1.21, Validation Accuracy : 0.63
Epoch : 166, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.15, Validation Accuracy : 0.66
Epoch : 167, Train Loss : 1.42, Train Accuracy : 0.53, Validation Loss : 1.22, Validation Accuracy : 0.64
Epoch : 168, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.02, Validation Accuracy : 0.74
Epoch : 169, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.09, Validation Accuracy : 0.70
Epoch : 170, Train Loss : 1.42, Train Accuracy : 0.53, Validation Loss : 1.30, Validation Accuracy : 0.62
Epoch : 171, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.00, Validation Accuracy : 0.73
Epoch : 172, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.06, Validation Accuracy : 0.71
Epoch : 173, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.07, Validation Accuracy : 0.72
Epoch : 174, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 175, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.05, Validation Accuracy : 0.73
Epoch : 176, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.19, Validation Accuracy : 0.67
Epoch : 177, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.33, Validation Accuracy : 0.60
Epoch : 178, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.00, Validation Accuracy : 0.75
Epoch : 179, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.32, Validation Accuracy : 0.60
Epoch : 180, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.08, Validation Accuracy : 0.72
Epoch : 181, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 1.50, Validation Accuracy : 0.54
Epoch : 182, Train Loss : 1.35, Train Accuracy : 0.55, Validation Loss : 1.06, Validation Accuracy : 0.69
Epoch : 183, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 1.02, Validation Accuracy : 0.74
Epoch : 184, Train Loss : 1.37, Train Accuracy : 0.55, Validation Loss : 1.19, Validation Accuracy : 0.63
Epoch : 185, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 1.18, Validation Accuracy : 0.64
Epoch : 186, Train Loss : 1.37, Train Accuracy : 0.53, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 187, Train Loss : 1.36, Train Accuracy : 0.55, Validation Loss : 1.04, Validation Accuracy : 0.71
Epoch : 188, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.13, Validation Accuracy : 0.68
Epoch : 189, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 190, Train Loss : 1.34, Train Accuracy : 0.55, Validation Loss : 0.99, Validation Accuracy : 0.73
Epoch : 191, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.04, Validation Accuracy : 0.73
Epoch : 192, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.11, Validation Accuracy : 0.68
Epoch : 193, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 1.00, Validation Accuracy : 0.73
Epoch : 194, Train Loss : 1.34, Train Accuracy : 0.55, Validation Loss : 0.96, Validation Accuracy : 0.76
Epoch : 195, Train Loss : 1.34, Train Accuracy : 0.55, Validation Loss : 1.01, Validation Accuracy : 0.71
Epoch : 196, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 1.23, Validation Accuracy : 0.61
Epoch : 197, Train Loss : 1.34, Train Accuracy : 0.55, Validation Loss : 1.08, Validation Accuracy : 0.71
Epoch : 198, Train Loss : 1.36, Train Accuracy : 0.54, Validation Loss : 0.96, Validation Accuracy : 0.73
Epoch : 199, Train Loss : 1.34, Train Accuracy : 0.55, Validation Loss : 1.09, Validation Accuracy : 0.70
Epoch : 200, Train Loss : 1.36, Train Accuracy : 0.54, Validation Loss : 1.01, Validation Accuracy : 0.74
Epoch : 201, Train Loss : 1.34, Train Accuracy : 0.55, Validation Loss : 1.10, Validation Accuracy : 0.70
Epoch : 202, Train Loss : 1.32, Train Accuracy : 0.56, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 203, Train Loss : 1.35, Train Accuracy : 0.54, Validation Loss : 0.94, Validation Accuracy : 0.76
Epoch : 204, Train Loss : 1.33, Train Accuracy : 0.55, Validation Loss : 1.00, Validation Accuracy : 0.74
Epoch : 205, Train Loss : 1.34, Train Accuracy : 0.55, Validation Loss : 1.03, Validation Accuracy : 0.73
Epoch : 206, Train Loss : 1.35, Train Accuracy : 0.55, Validation Loss : 1.00, Validation Accuracy : 0.73
Epoch : 207, Train Loss : 1.36, Train Accuracy : 0.54, Validation Loss : 1.09, Validation Accuracy : 0.69
Epoch : 208, Train Loss : 1.34, Train Accuracy : 0.55, Validation Loss : 0.93, Validation Accuracy : 0.75
Epoch : 209, Train Loss : 1.33, Train Accuracy : 0.55, Validation Loss : 1.12, Validation Accuracy : 0.66
Epoch : 210, Train Loss : 1.36, Train Accuracy : 0.54, Validation Loss : 0.99, Validation Accuracy : 0.74
Epoch : 211, Train Loss : 1.33, Train Accuracy : 0.56, Validation Loss : 0.93, Validation Accuracy : 0.76
Epoch : 212, Train Loss : 1.34, Train Accuracy : 0.55, Validation Loss : 0.92, Validation Accuracy : 0.76
Epoch : 213, Train Loss : 1.34, Train Accuracy : 0.55, Validation Loss : 0.99, Validation Accuracy : 0.74
Epoch : 214, Train Loss : 1.30, Train Accuracy : 0.57, Validation Loss : 0.92, Validation Accuracy : 0.75
Epoch : 215, Train Loss : 1.34, Train Accuracy : 0.55, Validation Loss : 0.93, Validation Accuracy : 0.76
Epoch : 216, Train Loss : 1.32, Train Accuracy : 0.56, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 217, Train Loss : 1.32, Train Accuracy : 0.56, Validation Loss : 1.04, Validation Accuracy : 0.72
Epoch : 218, Train Loss : 1.33, Train Accuracy : 0.55, Validation Loss : 0.96, Validation Accuracy : 0.74
Epoch : 219, Train Loss : 1.34, Train Accuracy : 0.55, Validation Loss : 1.05, Validation Accuracy : 0.71
Epoch : 220, Train Loss : 1.31, Train Accuracy : 0.56, Validation Loss : 0.94, Validation Accuracy : 0.75
Epoch : 221, Train Loss : 1.32, Train Accuracy : 0.56, Validation Loss : 1.10, Validation Accuracy : 0.71
Epoch : 222, Train Loss : 1.33, Train Accuracy : 0.55, Validation Loss : 1.08, Validation Accuracy : 0.70
Epoch : 223, Train Loss : 1.33, Train Accuracy : 0.55, Validation Loss : 0.92, Validation Accuracy : 0.77
Epoch : 224, Train Loss : 1.33, Train Accuracy : 0.55, Validation Loss : 1.03, Validation Accuracy : 0.69
Epoch : 225, Train Loss : 1.32, Train Accuracy : 0.55, Validation Loss : 1.02, Validation Accuracy : 0.72
Epoch : 226, Train Loss : 1.31, Train Accuracy : 0.57, Validation Loss : 0.95, Validation Accuracy : 0.74
Epoch : 227, Train Loss : 1.30, Train Accuracy : 0.56, Validation Loss : 1.23, Validation Accuracy : 0.61
Epoch : 228, Train Loss : 1.33, Train Accuracy : 0.56, Validation Loss : 0.96, Validation Accuracy : 0.76
Epoch : 229, Train Loss : 1.28, Train Accuracy : 0.57, Validation Loss : 1.16, Validation Accuracy : 0.65
Epoch : 230, Train Loss : 1.31, Train Accuracy : 0.56, Validation Loss : 0.90, Validation Accuracy : 0.76
Epoch : 231, Train Loss : 1.30, Train Accuracy : 0.57, Validation Loss : 0.94, Validation Accuracy : 0.76
Epoch : 232, Train Loss : 1.31, Train Accuracy : 0.57, Validation Loss : 0.94, Validation Accuracy : 0.74
Epoch : 233, Train Loss : 1.33, Train Accuracy : 0.55, Validation Loss : 1.04, Validation Accuracy : 0.69
Epoch : 234, Train Loss : 1.29, Train Accuracy : 0.57, Validation Loss : 0.94, Validation Accuracy : 0.75
Epoch : 235, Train Loss : 1.28, Train Accuracy : 0.57, Validation Loss : 0.95, Validation Accuracy : 0.73
Epoch : 236, Train Loss : 1.32, Train Accuracy : 0.56, Validation Loss : 0.94, Validation Accuracy : 0.74
Epoch : 237, Train Loss : 1.34, Train Accuracy : 0.55, Validation Loss : 1.01, Validation Accuracy : 0.71
Epoch : 238, Train Loss : 1.31, Train Accuracy : 0.56, Validation Loss : 1.09, Validation Accuracy : 0.68
Epoch : 239, Train Loss : 1.30, Train Accuracy : 0.56, Validation Loss : 0.94, Validation Accuracy : 0.75
Epoch : 240, Train Loss : 1.28, Train Accuracy : 0.57, Validation Loss : 1.22, Validation Accuracy : 0.63
Epoch : 241, Train Loss : 1.29, Train Accuracy : 0.57, Validation Loss : 0.93, Validation Accuracy : 0.74
Epoch : 242, Train Loss : 1.30, Train Accuracy : 0.56, Validation Loss : 1.00, Validation Accuracy : 0.71
Epoch : 243, Train Loss : 1.30, Train Accuracy : 0.56, Validation Loss : 1.15, Validation Accuracy : 0.65
Epoch : 244, Train Loss : 1.30, Train Accuracy : 0.56, Validation Loss : 0.97, Validation Accuracy : 0.72
Epoch : 245, Train Loss : 1.29, Train Accuracy : 0.57, Validation Loss : 0.95, Validation Accuracy : 0.77
Epoch : 246, Train Loss : 1.30, Train Accuracy : 0.56, Validation Loss : 0.86, Validation Accuracy : 0.78
Epoch : 247, Train Loss : 1.30, Train Accuracy : 0.56, Validation Loss : 0.88, Validation Accuracy : 0.80
Epoch : 248, Train Loss : 1.31, Train Accuracy : 0.56, Validation Loss : 0.93, Validation Accuracy : 0.75
Epoch : 249, Train Loss : 1.29, Train Accuracy : 0.57, Validation Loss : 1.26, Validation Accuracy : 0.63
Epoch : 250, Train Loss : 1.31, Train Accuracy : 0.56, Validation Loss : 0.89, Validation Accuracy : 0.75
Epoch : 251, Train Loss : 1.30, Train Accuracy : 0.57, Validation Loss : 1.09, Validation Accuracy : 0.68
Epoch : 252, Train Loss : 1.28, Train Accuracy : 0.57, Validation Loss : 0.87, Validation Accuracy : 0.77
Epoch : 253, Train Loss : 1.28, Train Accuracy : 0.57, Validation Loss : 0.86, Validation Accuracy : 0.78
Epoch : 254, Train Loss : 1.29, Train Accuracy : 0.57, Validation Loss : 0.92, Validation Accuracy : 0.76
Epoch : 255, Train Loss : 1.30, Train Accuracy : 0.57, Validation Loss : 0.85, Validation Accuracy : 0.79
Epoch : 256, Train Loss : 1.28, Train Accuracy : 0.57, Validation Loss : 0.85, Validation Accuracy : 0.78
Epoch : 257, Train Loss : 1.30, Train Accuracy : 0.56, Validation Loss : 0.90, Validation Accuracy : 0.77
Epoch : 258, Train Loss : 1.29, Train Accuracy : 0.56, Validation Loss : 0.91, Validation Accuracy : 0.77
Epoch : 259, Train Loss : 1.30, Train Accuracy : 0.56, Validation Loss : 0.88, Validation Accuracy : 0.78
Epoch : 260, Train Loss : 1.28, Train Accuracy : 0.57, Validation Loss : 0.95, Validation Accuracy : 0.74
Epoch : 261, Train Loss : 1.27, Train Accuracy : 0.57, Validation Loss : 0.92, Validation Accuracy : 0.74
Epoch : 262, Train Loss : 1.28, Train Accuracy : 0.57, Validation Loss : 0.88, Validation Accuracy : 0.78
Epoch : 263, Train Loss : 1.27, Train Accuracy : 0.58, Validation Loss : 0.95, Validation Accuracy : 0.73
Epoch : 264, Train Loss : 1.26, Train Accuracy : 0.58, Validation Loss : 0.86, Validation Accuracy : 0.77
Epoch : 265, Train Loss : 1.29, Train Accuracy : 0.56, Validation Loss : 1.27, Validation Accuracy : 0.62
Epoch : 266, Train Loss : 1.33, Train Accuracy : 0.55, Validation Loss : 0.94, Validation Accuracy : 0.76
Epoch : 267, Train Loss : 1.28, Train Accuracy : 0.56, Validation Loss : 1.01, Validation Accuracy : 0.72
Epoch : 268, Train Loss : 1.29, Train Accuracy : 0.57, Validation Loss : 1.04, Validation Accuracy : 0.69
Epoch : 269, Train Loss : 1.30, Train Accuracy : 0.56, Validation Loss : 0.94, Validation Accuracy : 0.76
Epoch : 270, Train Loss : 1.28, Train Accuracy : 0.57, Validation Loss : 1.03, Validation Accuracy : 0.67
Epoch : 271, Train Loss : 1.32, Train Accuracy : 0.56, Validation Loss : 1.02, Validation Accuracy : 0.70
Epoch : 272, Train Loss : 1.28, Train Accuracy : 0.57, Validation Loss : 0.89, Validation Accuracy : 0.76
Epoch : 273, Train Loss : 1.26, Train Accuracy : 0.57, Validation Loss : 0.90, Validation Accuracy : 0.77
Epoch : 274, Train Loss : 1.28, Train Accuracy : 0.57, Validation Loss : 1.01, Validation Accuracy : 0.71
Epoch : 275, Train Loss : 1.29, Train Accuracy : 0.57, Validation Loss : 0.86, Validation Accuracy : 0.78
Epoch : 276, Train Loss : 1.27, Train Accuracy : 0.57, Validation Loss : 0.85, Validation Accuracy : 0.79
Epoch : 277, Train Loss : 1.28, Train Accuracy : 0.57, Validation Loss : 0.85, Validation Accuracy : 0.78
Epoch : 278, Train Loss : 1.27, Train Accuracy : 0.58, Validation Loss : 0.86, Validation Accuracy : 0.76
Epoch : 279, Train Loss : 1.25, Train Accuracy : 0.58, Validation Loss : 0.82, Validation Accuracy : 0.79
Epoch : 280, Train Loss : 1.27, Train Accuracy : 0.57, Validation Loss : 1.04, Validation Accuracy : 0.70
Epoch : 281, Train Loss : 1.28, Train Accuracy : 0.57, Validation Loss : 1.13, Validation Accuracy : 0.67
Epoch : 282, Train Loss : 1.28, Train Accuracy : 0.57, Validation Loss : 0.82, Validation Accuracy : 0.79
Epoch : 283, Train Loss : 1.25, Train Accuracy : 0.58, Validation Loss : 0.81, Validation Accuracy : 0.80
Epoch : 284, Train Loss : 1.24, Train Accuracy : 0.58, Validation Loss : 0.91, Validation Accuracy : 0.77
Epoch : 285, Train Loss : 1.26, Train Accuracy : 0.57, Validation Loss : 0.83, Validation Accuracy : 0.78
Epoch : 286, Train Loss : 1.26, Train Accuracy : 0.58, Validation Loss : 0.86, Validation Accuracy : 0.76
Epoch : 287, Train Loss : 1.25, Train Accuracy : 0.58, Validation Loss : 0.96, Validation Accuracy : 0.73
Epoch : 288, Train Loss : 1.26, Train Accuracy : 0.57, Validation Loss : 1.00, Validation Accuracy : 0.71
Epoch : 289, Train Loss : 1.24, Train Accuracy : 0.58, Validation Loss : 1.00, Validation Accuracy : 0.72
Epoch : 290, Train Loss : 1.25, Train Accuracy : 0.58, Validation Loss : 0.85, Validation Accuracy : 0.79
Epoch : 291, Train Loss : 1.27, Train Accuracy : 0.57, Validation Loss : 0.86, Validation Accuracy : 0.78
Epoch : 292, Train Loss : 1.26, Train Accuracy : 0.58, Validation Loss : 0.90, Validation Accuracy : 0.75
Epoch : 293, Train Loss : 1.26, Train Accuracy : 0.57, Validation Loss : 0.83, Validation Accuracy : 0.79
Epoch : 294, Train Loss : 1.26, Train Accuracy : 0.58, Validation Loss : 0.86, Validation Accuracy : 0.78
Epoch : 295, Train Loss : 1.24, Train Accuracy : 0.59, Validation Loss : 0.84, Validation Accuracy : 0.79
Epoch : 296, Train Loss : 1.23, Train Accuracy : 0.59, Validation Loss : 0.91, Validation Accuracy : 0.76
Epoch : 297, Train Loss : 1.24, Train Accuracy : 0.58, Validation Loss : 1.02, Validation Accuracy : 0.72
Epoch : 298, Train Loss : 1.24, Train Accuracy : 0.58, Validation Loss : 0.94, Validation Accuracy : 0.75
Epoch : 299, Train Loss : 1.28, Train Accuracy : 0.57, Validation Loss : 0.82, Validation Accuracy : 0.79
Epoch : 300, Train Loss : 1.26, Train Accuracy : 0.58, Validation Loss : 0.88, Validation Accuracy : 0.76
Epoch : 301, Train Loss : 1.25, Train Accuracy : 0.58, Validation Loss : 0.91, Validation Accuracy : 0.76
Epoch : 302, Train Loss : 1.24, Train Accuracy : 0.58, Validation Loss : 0.79, Validation Accuracy : 0.79
Epoch : 303, Train Loss : 1.24, Train Accuracy : 0.58, Validation Loss : 0.96, Validation Accuracy : 0.74
Epoch : 304, Train Loss : 1.24, Train Accuracy : 0.58, Validation Loss : 0.91, Validation Accuracy : 0.74
Epoch : 305, Train Loss : 1.27, Train Accuracy : 0.57, Validation Loss : 0.84, Validation Accuracy : 0.78
Epoch : 306, Train Loss : 1.23, Train Accuracy : 0.59, Validation Loss : 0.96, Validation Accuracy : 0.72
Epoch : 307, Train Loss : 1.28, Train Accuracy : 0.57, Validation Loss : 0.84, Validation Accuracy : 0.78
Epoch : 308, Train Loss : 1.26, Train Accuracy : 0.58, Validation Loss : 0.93, Validation Accuracy : 0.73
Epoch : 309, Train Loss : 1.23, Train Accuracy : 0.59, Validation Loss : 0.90, Validation Accuracy : 0.77
Epoch : 310, Train Loss : 1.28, Train Accuracy : 0.57, Validation Loss : 0.82, Validation Accuracy : 0.81
Epoch : 311, Train Loss : 1.20, Train Accuracy : 0.60, Validation Loss : 0.84, Validation Accuracy : 0.79
Epoch : 312, Train Loss : 1.26, Train Accuracy : 0.57, Validation Loss : 0.90, Validation Accuracy : 0.75
Epoch : 313, Train Loss : 1.25, Train Accuracy : 0.58, Validation Loss : 0.93, Validation Accuracy : 0.74
Epoch : 314, Train Loss : 1.25, Train Accuracy : 0.58, Validation Loss : 0.95, Validation Accuracy : 0.72
Epoch : 315, Train Loss : 1.24, Train Accuracy : 0.58, Validation Loss : 0.89, Validation Accuracy : 0.75
Epoch : 316, Train Loss : 1.24, Train Accuracy : 0.58, Validation Loss : 0.98, Validation Accuracy : 0.73
Epoch : 317, Train Loss : 1.26, Train Accuracy : 0.58, Validation Loss : 0.84, Validation Accuracy : 0.79
Epoch : 318, Train Loss : 1.24, Train Accuracy : 0.59, Validation Loss : 0.82, Validation Accuracy : 0.78
Epoch : 319, Train Loss : 1.25, Train Accuracy : 0.58, Validation Loss : 0.83, Validation Accuracy : 0.79
Epoch : 320, Train Loss : 1.23, Train Accuracy : 0.58, Validation Loss : 0.85, Validation Accuracy : 0.76
Epoch : 321, Train Loss : 1.23, Train Accuracy : 0.59, Validation Loss : 1.17, Validation Accuracy : 0.64
Epoch : 322, Train Loss : 1.25, Train Accuracy : 0.58, Validation Loss : 0.95, Validation Accuracy : 0.74
Epoch : 323, Train Loss : 1.24, Train Accuracy : 0.58, Validation Loss : 0.94, Validation Accuracy : 0.74
Epoch : 324, Train Loss : 1.23, Train Accuracy : 0.58, Validation Loss : 0.88, Validation Accuracy : 0.78
Epoch : 325, Train Loss : 1.24, Train Accuracy : 0.58, Validation Loss : 0.86, Validation Accuracy : 0.78
Epoch : 326, Train Loss : 1.28, Train Accuracy : 0.57, Validation Loss : 1.12, Validation Accuracy : 0.64
Epoch : 327, Train Loss : 1.21, Train Accuracy : 0.60, Validation Loss : 1.61, Validation Accuracy : 0.59
Epoch : 328, Train Loss : 1.26, Train Accuracy : 0.58, Validation Loss : 0.89, Validation Accuracy : 0.76
Epoch : 329, Train Loss : 1.24, Train Accuracy : 0.58, Validation Loss : 0.99, Validation Accuracy : 0.72
Epoch : 330, Train Loss : 1.25, Train Accuracy : 0.58, Validation Loss : 0.89, Validation Accuracy : 0.77
Epoch : 331, Train Loss : 1.23, Train Accuracy : 0.59, Validation Loss : 0.88, Validation Accuracy : 0.76
Epoch : 332, Train Loss : 1.22, Train Accuracy : 0.59, Validation Loss : 0.98, Validation Accuracy : 0.72
Epoch : 333, Train Loss : 1.27, Train Accuracy : 0.58, Validation Loss : 0.89, Validation Accuracy : 0.75
Epoch : 334, Train Loss : 1.24, Train Accuracy : 0.58, Validation Loss : 0.85, Validation Accuracy : 0.76
Epoch : 335, Train Loss : 1.22, Train Accuracy : 0.59, Validation Loss : 0.82, Validation Accuracy : 0.78
Epoch : 336, Train Loss : 1.22, Train Accuracy : 0.59, Validation Loss : 0.75, Validation Accuracy : 0.81
Epoch : 337, Train Loss : 1.22, Train Accuracy : 0.59, Validation Loss : 0.96, Validation Accuracy : 0.73
Epoch : 338, Train Loss : 1.21, Train Accuracy : 0.59, Validation Loss : 0.81, Validation Accuracy : 0.80
Epoch : 339, Train Loss : 1.21, Train Accuracy : 0.59, Validation Loss : 0.83, Validation Accuracy : 0.78
Epoch : 340, Train Loss : 1.21, Train Accuracy : 0.60, Validation Loss : 0.82, Validation Accuracy : 0.77
Epoch : 341, Train Loss : 1.24, Train Accuracy : 0.58, Validation Loss : 1.07, Validation Accuracy : 0.70
Epoch : 342, Train Loss : 1.24, Train Accuracy : 0.58, Validation Loss : 0.97, Validation Accuracy : 0.73
Epoch : 343, Train Loss : 1.22, Train Accuracy : 0.58, Validation Loss : 0.77, Validation Accuracy : 0.81
Epoch : 344, Train Loss : 1.21, Train Accuracy : 0.59, Validation Loss : 0.79, Validation Accuracy : 0.80
Epoch : 345, Train Loss : 1.20, Train Accuracy : 0.59, Validation Loss : 1.13, Validation Accuracy : 0.66
Epoch : 346, Train Loss : 1.21, Train Accuracy : 0.59, Validation Loss : 0.90, Validation Accuracy : 0.72
Epoch : 347, Train Loss : 1.23, Train Accuracy : 0.58, Validation Loss : 0.82, Validation Accuracy : 0.78
Epoch : 348, Train Loss : 1.23, Train Accuracy : 0.59, Validation Loss : 0.77, Validation Accuracy : 0.81
Epoch : 349, Train Loss : 1.19, Train Accuracy : 0.59, Validation Loss : 0.81, Validation Accuracy : 0.78
Epoch : 350, Train Loss : 1.19, Train Accuracy : 0.59, Validation Loss : 0.77, Validation Accuracy : 0.81
Epoch : 351, Train Loss : 1.19, Train Accuracy : 0.59, Validation Loss : 0.82, Validation Accuracy : 0.79
Epoch : 352, Train Loss : 1.21, Train Accuracy : 0.59, Validation Loss : 0.80, Validation Accuracy : 0.78
Epoch : 353, Train Loss : 1.24, Train Accuracy : 0.59, Validation Loss : 0.98, Validation Accuracy : 0.73
Epoch : 354, Train Loss : 1.20, Train Accuracy : 0.60, Validation Loss : 0.81, Validation Accuracy : 0.79
Epoch : 355, Train Loss : 1.24, Train Accuracy : 0.58, Validation Loss : 0.89, Validation Accuracy : 0.75
Epoch : 356, Train Loss : 1.21, Train Accuracy : 0.59, Validation Loss : 1.14, Validation Accuracy : 0.66
Epoch : 357, Train Loss : 1.21, Train Accuracy : 0.59, Validation Loss : 0.83, Validation Accuracy : 0.79
Epoch : 358, Train Loss : 1.21, Train Accuracy : 0.59, Validation Loss : 0.79, Validation Accuracy : 0.80
Epoch : 359, Train Loss : 1.19, Train Accuracy : 0.61, Validation Loss : 0.76, Validation Accuracy : 0.81
Epoch : 360, Train Loss : 1.21, Train Accuracy : 0.59, Validation Loss : 0.90, Validation Accuracy : 0.75
Epoch : 361, Train Loss : 1.22, Train Accuracy : 0.59, Validation Loss : 0.80, Validation Accuracy : 0.80
Epoch : 362, Train Loss : 1.18, Train Accuracy : 0.60, Validation Loss : 0.81, Validation Accuracy : 0.78
Epoch : 363, Train Loss : 1.22, Train Accuracy : 0.59, Validation Loss : 0.75, Validation Accuracy : 0.80
Epoch : 364, Train Loss : 1.23, Train Accuracy : 0.58, Validation Loss : 0.82, Validation Accuracy : 0.79
Epoch : 365, Train Loss : 1.20, Train Accuracy : 0.59, Validation Loss : 0.84, Validation Accuracy : 0.78
Epoch : 366, Train Loss : 1.20, Train Accuracy : 0.60, Validation Loss : 0.76, Validation Accuracy : 0.79
Epoch : 367, Train Loss : 1.21, Train Accuracy : 0.59, Validation Loss : 0.84, Validation Accuracy : 0.77
Epoch : 368, Train Loss : 1.20, Train Accuracy : 0.59, Validation Loss : 0.85, Validation Accuracy : 0.76
Epoch : 369, Train Loss : 1.21, Train Accuracy : 0.59, Validation Loss : 0.73, Validation Accuracy : 0.81
Epoch : 370, Train Loss : 1.20, Train Accuracy : 0.59, Validation Loss : 1.12, Validation Accuracy : 0.66
Epoch : 371, Train Loss : 1.24, Train Accuracy : 0.58, Validation Loss : 0.79, Validation Accuracy : 0.79
Epoch : 372, Train Loss : 1.22, Train Accuracy : 0.59, Validation Loss : 0.76, Validation Accuracy : 0.81
Epoch : 373, Train Loss : 1.18, Train Accuracy : 0.60, Validation Loss : 0.74, Validation Accuracy : 0.80
Epoch : 374, Train Loss : 1.20, Train Accuracy : 0.60, Validation Loss : 0.78, Validation Accuracy : 0.81
Epoch : 375, Train Loss : 1.20, Train Accuracy : 0.59, Validation Loss : 0.75, Validation Accuracy : 0.80
Epoch : 376, Train Loss : 1.17, Train Accuracy : 0.60, Validation Loss : 0.75, Validation Accuracy : 0.81
Epoch : 377, Train Loss : 1.16, Train Accuracy : 0.61, Validation Loss : 0.74, Validation Accuracy : 0.81
Epoch : 378, Train Loss : 1.20, Train Accuracy : 0.60, Validation Loss : 0.79, Validation Accuracy : 0.79
Epoch : 379, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 0.75, Validation Accuracy : 0.82
Epoch : 380, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 0.74, Validation Accuracy : 0.81
Epoch : 381, Train Loss : 1.21, Train Accuracy : 0.59, Validation Loss : 0.90, Validation Accuracy : 0.76
Epoch : 382, Train Loss : 1.21, Train Accuracy : 0.59, Validation Loss : 0.89, Validation Accuracy : 0.75
Epoch : 383, Train Loss : 1.21, Train Accuracy : 0.59, Validation Loss : 0.71, Validation Accuracy : 0.82
Epoch : 384, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 0.81, Validation Accuracy : 0.79
Epoch : 385, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 1.04, Validation Accuracy : 0.69
Epoch : 386, Train Loss : 1.22, Train Accuracy : 0.59, Validation Loss : 0.97, Validation Accuracy : 0.72
Epoch : 387, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 0.75, Validation Accuracy : 0.81
Epoch : 388, Train Loss : 1.18, Train Accuracy : 0.60, Validation Loss : 0.75, Validation Accuracy : 0.80
Epoch : 389, Train Loss : 1.18, Train Accuracy : 0.60, Validation Loss : 0.76, Validation Accuracy : 0.80
Epoch : 390, Train Loss : 1.18, Train Accuracy : 0.60, Validation Loss : 0.81, Validation Accuracy : 0.79
Epoch : 391, Train Loss : 1.20, Train Accuracy : 0.60, Validation Loss : 0.93, Validation Accuracy : 0.72
Epoch : 392, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 0.80, Validation Accuracy : 0.78
Epoch : 393, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 1.08, Validation Accuracy : 0.67
Epoch : 394, Train Loss : 1.21, Train Accuracy : 0.60, Validation Loss : 0.79, Validation Accuracy : 0.79
Epoch : 395, Train Loss : 1.20, Train Accuracy : 0.60, Validation Loss : 0.88, Validation Accuracy : 0.76
Epoch : 396, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 0.84, Validation Accuracy : 0.77
Epoch : 397, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 0.98, Validation Accuracy : 0.72
Epoch : 398, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 0.82, Validation Accuracy : 0.78
Epoch : 399, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 0.74, Validation Accuracy : 0.81
Epoch : 400, Train Loss : 1.17, Train Accuracy : 0.61, Validation Loss : 0.74, Validation Accuracy : 0.80
Epoch : 401, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 0.85, Validation Accuracy : 0.77
Epoch : 402, Train Loss : 1.17, Train Accuracy : 0.61, Validation Loss : 0.78, Validation Accuracy : 0.80
Epoch : 403, Train Loss : 1.18, Train Accuracy : 0.60, Validation Loss : 0.74, Validation Accuracy : 0.81
Epoch : 404, Train Loss : 1.19, Train Accuracy : 0.59, Validation Loss : 0.78, Validation Accuracy : 0.79
Epoch : 405, Train Loss : 1.20, Train Accuracy : 0.59, Validation Loss : 0.97, Validation Accuracy : 0.71
Epoch : 406, Train Loss : 1.18, Train Accuracy : 0.60, Validation Loss : 0.78, Validation Accuracy : 0.79
Epoch : 407, Train Loss : 1.18, Train Accuracy : 0.60, Validation Loss : 0.80, Validation Accuracy : 0.78
Epoch : 408, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 0.77, Validation Accuracy : 0.79
Epoch : 409, Train Loss : 1.19, Train Accuracy : 0.59, Validation Loss : 0.85, Validation Accuracy : 0.77
Epoch : 410, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 0.73, Validation Accuracy : 0.82
Epoch : 411, Train Loss : 1.17, Train Accuracy : 0.61, Validation Loss : 0.81, Validation Accuracy : 0.79
Epoch : 412, Train Loss : 1.16, Train Accuracy : 0.61, Validation Loss : 0.78, Validation Accuracy : 0.80
Epoch : 413, Train Loss : 1.19, Train Accuracy : 0.59, Validation Loss : 0.80, Validation Accuracy : 0.78
Epoch : 414, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 0.73, Validation Accuracy : 0.81
Epoch : 415, Train Loss : 1.17, Train Accuracy : 0.61, Validation Loss : 0.75, Validation Accuracy : 0.81
Epoch : 416, Train Loss : 1.16, Train Accuracy : 0.61, Validation Loss : 0.74, Validation Accuracy : 0.82
Epoch : 417, Train Loss : 1.18, Train Accuracy : 0.60, Validation Loss : 0.73, Validation Accuracy : 0.81
Epoch : 418, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 0.73, Validation Accuracy : 0.81
Epoch : 419, Train Loss : 1.14, Train Accuracy : 0.62, Validation Loss : 0.70, Validation Accuracy : 0.82
Epoch : 420, Train Loss : 1.16, Train Accuracy : 0.61, Validation Loss : 0.72, Validation Accuracy : 0.81
Epoch : 421, Train Loss : 1.17, Train Accuracy : 0.60, Validation Loss : 0.69, Validation Accuracy : 0.82
Epoch : 422, Train Loss : 1.16, Train Accuracy : 0.61, Validation Loss : 0.72, Validation Accuracy : 0.81
Epoch : 423, Train Loss : 1.16, Train Accuracy : 0.61, Validation Loss : 0.73, Validation Accuracy : 0.81
Epoch : 424, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 0.78, Validation Accuracy : 0.79
Epoch : 425, Train Loss : 1.16, Train Accuracy : 0.60, Validation Loss : 0.73, Validation Accuracy : 0.82
Epoch : 426, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 0.76, Validation Accuracy : 0.80
Epoch : 427, Train Loss : 1.16, Train Accuracy : 0.60, Validation Loss : 0.76, Validation Accuracy : 0.79
Epoch : 428, Train Loss : 1.15, Train Accuracy : 0.61, Validation Loss : 0.72, Validation Accuracy : 0.81
Epoch : 429, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 0.84, Validation Accuracy : 0.78
Epoch : 430, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 0.72, Validation Accuracy : 0.82
Epoch : 431, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 0.70, Validation Accuracy : 0.82
Epoch : 432, Train Loss : 1.16, Train Accuracy : 0.61, Validation Loss : 0.70, Validation Accuracy : 0.82
Epoch : 433, Train Loss : 1.15, Train Accuracy : 0.61, Validation Loss : 0.70, Validation Accuracy : 0.82
Epoch : 434, Train Loss : 1.16, Train Accuracy : 0.60, Validation Loss : 0.71, Validation Accuracy : 0.82
Epoch : 435, Train Loss : 1.15, Train Accuracy : 0.61, Validation Loss : 0.69, Validation Accuracy : 0.83
Epoch : 436, Train Loss : 1.17, Train Accuracy : 0.61, Validation Loss : 0.99, Validation Accuracy : 0.72
Epoch : 437, Train Loss : 1.16, Train Accuracy : 0.61, Validation Loss : 0.80, Validation Accuracy : 0.78
Epoch : 438, Train Loss : 1.16, Train Accuracy : 0.61, Validation Loss : 0.79, Validation Accuracy : 0.77
Epoch : 439, Train Loss : 1.16, Train Accuracy : 0.61, Validation Loss : 1.58, Validation Accuracy : 0.52
Epoch : 440, Train Loss : 1.21, Train Accuracy : 0.59, Validation Loss : 0.86, Validation Accuracy : 0.76
Epoch : 441, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 0.74, Validation Accuracy : 0.80
Epoch : 442, Train Loss : 1.18, Train Accuracy : 0.60, Validation Loss : 0.77, Validation Accuracy : 0.81
Epoch : 443, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 1.05, Validation Accuracy : 0.69
Epoch : 444, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 1.28, Validation Accuracy : 0.65
Epoch : 445, Train Loss : 1.20, Train Accuracy : 0.60, Validation Loss : 0.98, Validation Accuracy : 0.71
Epoch : 446, Train Loss : 1.16, Train Accuracy : 0.61, Validation Loss : 0.78, Validation Accuracy : 0.79
Epoch : 447, Train Loss : 1.18, Train Accuracy : 0.60, Validation Loss : 0.73, Validation Accuracy : 0.81
Epoch : 448, Train Loss : 1.17, Train Accuracy : 0.60, Validation Loss : 0.70, Validation Accuracy : 0.83
Epoch : 449, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 0.89, Validation Accuracy : 0.75
Epoch : 450, Train Loss : 1.17, Train Accuracy : 0.60, Validation Loss : 0.85, Validation Accuracy : 0.74
Epoch : 451, Train Loss : 1.16, Train Accuracy : 0.61, Validation Loss : 0.80, Validation Accuracy : 0.78
Epoch : 452, Train Loss : 1.17, Train Accuracy : 0.60, Validation Loss : 0.74, Validation Accuracy : 0.80
Epoch : 453, Train Loss : 1.13, Train Accuracy : 0.61, Validation Loss : 0.68, Validation Accuracy : 0.83
Epoch : 454, Train Loss : 1.15, Train Accuracy : 0.61, Validation Loss : 0.73, Validation Accuracy : 0.81
Epoch : 455, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 1.15, Validation Accuracy : 0.67
Epoch : 456, Train Loss : 1.16, Train Accuracy : 0.61, Validation Loss : 0.71, Validation Accuracy : 0.82
Epoch : 457, Train Loss : 1.16, Train Accuracy : 0.61, Validation Loss : 0.87, Validation Accuracy : 0.75
Epoch : 458, Train Loss : 1.16, Train Accuracy : 0.60, Validation Loss : 0.72, Validation Accuracy : 0.81
Epoch : 459, Train Loss : 1.15, Train Accuracy : 0.61, Validation Loss : 0.87, Validation Accuracy : 0.75
Epoch : 460, Train Loss : 1.17, Train Accuracy : 0.60, Validation Loss : 0.79, Validation Accuracy : 0.80
Epoch : 461, Train Loss : 1.17, Train Accuracy : 0.60, Validation Loss : 0.74, Validation Accuracy : 0.82
Epoch : 462, Train Loss : 1.19, Train Accuracy : 0.60, Validation Loss : 0.72, Validation Accuracy : 0.83
Epoch : 463, Train Loss : 1.15, Train Accuracy : 0.61, Validation Loss : 0.79, Validation Accuracy : 0.78
Epoch : 464, Train Loss : 1.16, Train Accuracy : 0.61, Validation Loss : 0.87, Validation Accuracy : 0.76
Epoch : 465, Train Loss : 1.16, Train Accuracy : 0.61, Validation Loss : 0.75, Validation Accuracy : 0.79
Epoch : 466, Train Loss : 1.17, Train Accuracy : 0.60, Validation Loss : 0.72, Validation Accuracy : 0.82
Epoch : 467, Train Loss : 1.18, Train Accuracy : 0.60, Validation Loss : 0.70, Validation Accuracy : 0.81
Epoch : 468, Train Loss : 1.15, Train Accuracy : 0.61, Validation Loss : 0.73, Validation Accuracy : 0.81
Epoch : 469, Train Loss : 1.16, Train Accuracy : 0.61, Validation Loss : 0.86, Validation Accuracy : 0.75
Epoch : 470, Train Loss : 1.17, Train Accuracy : 0.61, Validation Loss : 0.69, Validation Accuracy : 0.82
Epoch : 471, Train Loss : 1.13, Train Accuracy : 0.62, Validation Loss : 0.72, Validation Accuracy : 0.81
Epoch : 472, Train Loss : 1.14, Train Accuracy : 0.62, Validation Loss : 0.68, Validation Accuracy : 0.83
Epoch : 473, Train Loss : 1.13, Train Accuracy : 0.62, Validation Loss : 0.71, Validation Accuracy : 0.82
Epoch : 474, Train Loss : 1.13, Train Accuracy : 0.62, Validation Loss : 0.81, Validation Accuracy : 0.77
Epoch : 475, Train Loss : 1.15, Train Accuracy : 0.62, Validation Loss : 0.75, Validation Accuracy : 0.80
Epoch : 476, Train Loss : 1.15, Train Accuracy : 0.61, Validation Loss : 0.66, Validation Accuracy : 0.83
Epoch : 477, Train Loss : 1.14, Train Accuracy : 0.61, Validation Loss : 0.69, Validation Accuracy : 0.80
Epoch : 478, Train Loss : 1.16, Train Accuracy : 0.61, Validation Loss : 0.73, Validation Accuracy : 0.80
Epoch : 479, Train Loss : 1.16, Train Accuracy : 0.61, Validation Loss : 0.67, Validation Accuracy : 0.83
Epoch : 480, Train Loss : 1.17, Train Accuracy : 0.60, Validation Loss : 0.70, Validation Accuracy : 0.82
Epoch : 481, Train Loss : 1.17, Train Accuracy : 0.60, Validation Loss : 0.68, Validation Accuracy : 0.82
Epoch : 482, Train Loss : 1.17, Train Accuracy : 0.61, Validation Loss : 1.31, Validation Accuracy : 0.63
Epoch : 483, Train Loss : 1.18, Train Accuracy : 0.60, Validation Loss : 0.82, Validation Accuracy : 0.77
Epoch : 484, Train Loss : 1.15, Train Accuracy : 0.61, Validation Loss : 3.59, Validation Accuracy : 0.35
Epoch : 485, Train Loss : 1.37, Train Accuracy : 0.56, Validation Loss : 0.80, Validation Accuracy : 0.79
Epoch : 486, Train Loss : 1.15, Train Accuracy : 0.62, Validation Loss : 0.87, Validation Accuracy : 0.77
Epoch : 487, Train Loss : 1.18, Train Accuracy : 0.60, Validation Loss : 0.74, Validation Accuracy : 0.79
Epoch : 488, Train Loss : 1.18, Train Accuracy : 0.60, Validation Loss : 0.68, Validation Accuracy : 0.82
Epoch : 489, Train Loss : 1.14, Train Accuracy : 0.61, Validation Loss : 0.74, Validation Accuracy : 0.80
Epoch : 490, Train Loss : 1.16, Train Accuracy : 0.61, Validation Loss : 0.68, Validation Accuracy : 0.83
Epoch : 491, Train Loss : 1.15, Train Accuracy : 0.61, Validation Loss : 0.69, Validation Accuracy : 0.83
Epoch : 492, Train Loss : 1.15, Train Accuracy : 0.61, Validation Loss : 0.67, Validation Accuracy : 0.83
Epoch : 493, Train Loss : 1.11, Train Accuracy : 0.62, Validation Loss : 0.69, Validation Accuracy : 0.83
Epoch : 494, Train Loss : 1.15, Train Accuracy : 0.61, Validation Loss : 0.65, Validation Accuracy : 0.83
Epoch : 495, Train Loss : 1.14, Train Accuracy : 0.61, Validation Loss : 0.85, Validation Accuracy : 0.77
Epoch : 496, Train Loss : 1.18, Train Accuracy : 0.60, Validation Loss : 0.74, Validation Accuracy : 0.80
Epoch : 497, Train Loss : 1.16, Train Accuracy : 0.61, Validation Loss : 0.67, Validation Accuracy : 0.82
Epoch : 498, Train Loss : 1.14, Train Accuracy : 0.62, Validation Loss : 0.71, Validation Accuracy : 0.83
Epoch : 499, Train Loss : 1.15, Train Accuracy : 0.61, Validation Loss : 0.91, Validation Accuracy : 0.73



















In [ ]:



    


fig, (ax1, ax2) = plt.subplots(1,2, figsize=(15,6))

fig.suptitle(f"model_nn_4_layers_simple : 500 Epochs, 0.01 SGD", fontsize=16)
ax1.plot(history3['train_acc'], label='train accuracy')
ax1.plot(history3['valid_acc'], label='valid accuracy')
ax1.legend()


ax2.plot(history3['train_loss'], label='train loss')
ax2.plot(history3['valid_loss'], label='valid loss')
ax2.legend()

fig.show()



    















    


























In [ ]:



    


model_5_layers = NNModel_5Layers(input_size, output_size)
history4 = fit(model_5_layers, train_dl, test_dl, 500, 0.01, optim=torch.optim.SGD)



    















    






Epoch : 0, Train Loss : 2.31, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 1, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 2, Train Loss : 2.30, Train Accuracy : 0.13, Validation Loss : 2.30, Validation Accuracy : 0.17
Epoch : 3, Train Loss : 2.28, Train Accuracy : 0.17, Validation Loss : 2.21, Validation Accuracy : 0.26
Epoch : 4, Train Loss : 2.23, Train Accuracy : 0.21, Validation Loss : 2.14, Validation Accuracy : 0.26
Epoch : 5, Train Loss : 2.16, Train Accuracy : 0.24, Validation Loss : 2.07, Validation Accuracy : 0.32
Epoch : 6, Train Loss : 2.12, Train Accuracy : 0.27, Validation Loss : 2.11, Validation Accuracy : 0.26
Epoch : 7, Train Loss : 2.10, Train Accuracy : 0.28, Validation Loss : 2.03, Validation Accuracy : 0.32
Epoch : 8, Train Loss : 2.06, Train Accuracy : 0.30, Validation Loss : 1.97, Validation Accuracy : 0.35
Epoch : 9, Train Loss : 2.02, Train Accuracy : 0.32, Validation Loss : 1.87, Validation Accuracy : 0.40
Epoch : 10, Train Loss : 1.98, Train Accuracy : 0.34, Validation Loss : 1.86, Validation Accuracy : 0.39
Epoch : 11, Train Loss : 1.94, Train Accuracy : 0.35, Validation Loss : 1.81, Validation Accuracy : 0.42
Epoch : 12, Train Loss : 1.89, Train Accuracy : 0.37, Validation Loss : 1.75, Validation Accuracy : 0.43
Epoch : 13, Train Loss : 1.85, Train Accuracy : 0.37, Validation Loss : 1.73, Validation Accuracy : 0.45
Epoch : 14, Train Loss : 1.83, Train Accuracy : 0.38, Validation Loss : 1.64, Validation Accuracy : 0.45
Epoch : 15, Train Loss : 1.81, Train Accuracy : 0.39, Validation Loss : 1.69, Validation Accuracy : 0.43
Epoch : 16, Train Loss : 1.80, Train Accuracy : 0.39, Validation Loss : 1.77, Validation Accuracy : 0.40
Epoch : 17, Train Loss : 1.74, Train Accuracy : 0.43, Validation Loss : 1.59, Validation Accuracy : 0.46
Epoch : 18, Train Loss : 1.69, Train Accuracy : 0.44, Validation Loss : 1.53, Validation Accuracy : 0.50
Epoch : 19, Train Loss : 1.67, Train Accuracy : 0.45, Validation Loss : 1.47, Validation Accuracy : 0.52
Epoch : 20, Train Loss : 1.64, Train Accuracy : 0.46, Validation Loss : 1.67, Validation Accuracy : 0.44
Epoch : 21, Train Loss : 1.64, Train Accuracy : 0.46, Validation Loss : 2.13, Validation Accuracy : 0.36
Epoch : 22, Train Loss : 1.65, Train Accuracy : 0.46, Validation Loss : 1.93, Validation Accuracy : 0.38
Epoch : 23, Train Loss : 1.63, Train Accuracy : 0.47, Validation Loss : 1.59, Validation Accuracy : 0.48
Epoch : 24, Train Loss : 1.63, Train Accuracy : 0.47, Validation Loss : 1.51, Validation Accuracy : 0.50
Epoch : 25, Train Loss : 1.60, Train Accuracy : 0.48, Validation Loss : 1.47, Validation Accuracy : 0.49
Epoch : 26, Train Loss : 1.58, Train Accuracy : 0.48, Validation Loss : 1.44, Validation Accuracy : 0.53
Epoch : 27, Train Loss : 1.56, Train Accuracy : 0.50, Validation Loss : 1.39, Validation Accuracy : 0.54
Epoch : 28, Train Loss : 1.55, Train Accuracy : 0.49, Validation Loss : 1.48, Validation Accuracy : 0.49
Epoch : 29, Train Loss : 1.54, Train Accuracy : 0.50, Validation Loss : 1.42, Validation Accuracy : 0.54
Epoch : 30, Train Loss : 1.54, Train Accuracy : 0.50, Validation Loss : 1.38, Validation Accuracy : 0.57
Epoch : 31, Train Loss : 1.51, Train Accuracy : 0.51, Validation Loss : 1.45, Validation Accuracy : 0.52
Epoch : 32, Train Loss : 1.52, Train Accuracy : 0.50, Validation Loss : 1.34, Validation Accuracy : 0.58
Epoch : 33, Train Loss : 1.51, Train Accuracy : 0.51, Validation Loss : 1.51, Validation Accuracy : 0.52
Epoch : 34, Train Loss : 1.51, Train Accuracy : 0.50, Validation Loss : 1.34, Validation Accuracy : 0.59
Epoch : 35, Train Loss : 1.48, Train Accuracy : 0.52, Validation Loss : 1.39, Validation Accuracy : 0.55
Epoch : 36, Train Loss : 1.48, Train Accuracy : 0.52, Validation Loss : 1.44, Validation Accuracy : 0.52
Epoch : 37, Train Loss : 1.47, Train Accuracy : 0.53, Validation Loss : 1.41, Validation Accuracy : 0.55
Epoch : 38, Train Loss : 1.45, Train Accuracy : 0.53, Validation Loss : 1.41, Validation Accuracy : 0.54
Epoch : 39, Train Loss : 1.46, Train Accuracy : 0.53, Validation Loss : 1.38, Validation Accuracy : 0.55
Epoch : 40, Train Loss : 1.44, Train Accuracy : 0.53, Validation Loss : 1.28, Validation Accuracy : 0.60
Epoch : 41, Train Loss : 1.43, Train Accuracy : 0.54, Validation Loss : 1.32, Validation Accuracy : 0.56
Epoch : 42, Train Loss : 1.45, Train Accuracy : 0.54, Validation Loss : 1.26, Validation Accuracy : 0.58
Epoch : 43, Train Loss : 1.40, Train Accuracy : 0.54, Validation Loss : 1.30, Validation Accuracy : 0.58
Epoch : 44, Train Loss : 1.41, Train Accuracy : 0.54, Validation Loss : 1.83, Validation Accuracy : 0.42
Epoch : 45, Train Loss : 1.44, Train Accuracy : 0.53, Validation Loss : 1.25, Validation Accuracy : 0.60
Epoch : 46, Train Loss : 1.40, Train Accuracy : 0.55, Validation Loss : 1.33, Validation Accuracy : 0.58
Epoch : 47, Train Loss : 1.41, Train Accuracy : 0.54, Validation Loss : 1.39, Validation Accuracy : 0.56
Epoch : 48, Train Loss : 1.39, Train Accuracy : 0.55, Validation Loss : 1.29, Validation Accuracy : 0.60
Epoch : 49, Train Loss : 1.38, Train Accuracy : 0.56, Validation Loss : 1.39, Validation Accuracy : 0.54
Epoch : 50, Train Loss : 1.36, Train Accuracy : 0.57, Validation Loss : 1.21, Validation Accuracy : 0.61
Epoch : 51, Train Loss : 1.36, Train Accuracy : 0.56, Validation Loss : 1.51, Validation Accuracy : 0.50
Epoch : 52, Train Loss : 1.37, Train Accuracy : 0.57, Validation Loss : 1.34, Validation Accuracy : 0.57
Epoch : 53, Train Loss : 1.36, Train Accuracy : 0.57, Validation Loss : 1.24, Validation Accuracy : 0.61
Epoch : 54, Train Loss : 1.35, Train Accuracy : 0.56, Validation Loss : 1.20, Validation Accuracy : 0.60
Epoch : 55, Train Loss : 1.34, Train Accuracy : 0.56, Validation Loss : 1.50, Validation Accuracy : 0.52
Epoch : 56, Train Loss : 1.35, Train Accuracy : 0.57, Validation Loss : 1.25, Validation Accuracy : 0.61
Epoch : 57, Train Loss : 1.37, Train Accuracy : 0.56, Validation Loss : 1.25, Validation Accuracy : 0.60
Epoch : 58, Train Loss : 1.31, Train Accuracy : 0.58, Validation Loss : 1.30, Validation Accuracy : 0.57
Epoch : 59, Train Loss : 1.33, Train Accuracy : 0.57, Validation Loss : 1.19, Validation Accuracy : 0.62
Epoch : 60, Train Loss : 1.32, Train Accuracy : 0.58, Validation Loss : 1.08, Validation Accuracy : 0.66
Epoch : 61, Train Loss : 1.29, Train Accuracy : 0.58, Validation Loss : 1.28, Validation Accuracy : 0.58
Epoch : 62, Train Loss : 1.30, Train Accuracy : 0.58, Validation Loss : 1.23, Validation Accuracy : 0.62
Epoch : 63, Train Loss : 1.28, Train Accuracy : 0.59, Validation Loss : 1.35, Validation Accuracy : 0.57
Epoch : 64, Train Loss : 1.28, Train Accuracy : 0.59, Validation Loss : 1.08, Validation Accuracy : 0.66
Epoch : 65, Train Loss : 1.26, Train Accuracy : 0.61, Validation Loss : 1.06, Validation Accuracy : 0.69
Epoch : 66, Train Loss : 1.25, Train Accuracy : 0.60, Validation Loss : 1.12, Validation Accuracy : 0.65
Epoch : 67, Train Loss : 1.25, Train Accuracy : 0.61, Validation Loss : 1.03, Validation Accuracy : 0.68
Epoch : 68, Train Loss : 1.24, Train Accuracy : 0.61, Validation Loss : 1.13, Validation Accuracy : 0.65
Epoch : 69, Train Loss : 1.22, Train Accuracy : 0.62, Validation Loss : 1.18, Validation Accuracy : 0.64
Epoch : 70, Train Loss : 1.21, Train Accuracy : 0.62, Validation Loss : 1.07, Validation Accuracy : 0.69
Epoch : 71, Train Loss : 1.21, Train Accuracy : 0.62, Validation Loss : 1.02, Validation Accuracy : 0.69
Epoch : 72, Train Loss : 1.22, Train Accuracy : 0.62, Validation Loss : 1.13, Validation Accuracy : 0.65
Epoch : 73, Train Loss : 1.19, Train Accuracy : 0.62, Validation Loss : 1.18, Validation Accuracy : 0.64
Epoch : 74, Train Loss : 1.20, Train Accuracy : 0.62, Validation Loss : 1.09, Validation Accuracy : 0.66
Epoch : 75, Train Loss : 1.19, Train Accuracy : 0.62, Validation Loss : 1.39, Validation Accuracy : 0.57
Epoch : 76, Train Loss : 1.22, Train Accuracy : 0.61, Validation Loss : 1.04, Validation Accuracy : 0.68
Epoch : 77, Train Loss : 1.18, Train Accuracy : 0.63, Validation Loss : 1.06, Validation Accuracy : 0.68
Epoch : 78, Train Loss : 1.18, Train Accuracy : 0.63, Validation Loss : 0.96, Validation Accuracy : 0.71
Epoch : 79, Train Loss : 1.15, Train Accuracy : 0.63, Validation Loss : 0.97, Validation Accuracy : 0.71
Epoch : 80, Train Loss : 1.16, Train Accuracy : 0.64, Validation Loss : 0.92, Validation Accuracy : 0.71
Epoch : 81, Train Loss : 1.17, Train Accuracy : 0.63, Validation Loss : 1.10, Validation Accuracy : 0.66
Epoch : 82, Train Loss : 1.16, Train Accuracy : 0.64, Validation Loss : 1.03, Validation Accuracy : 0.70
Epoch : 83, Train Loss : 1.13, Train Accuracy : 0.65, Validation Loss : 0.93, Validation Accuracy : 0.72
Epoch : 84, Train Loss : 1.13, Train Accuracy : 0.65, Validation Loss : 0.96, Validation Accuracy : 0.71
Epoch : 85, Train Loss : 1.14, Train Accuracy : 0.64, Validation Loss : 1.75, Validation Accuracy : 0.49
Epoch : 86, Train Loss : 1.15, Train Accuracy : 0.64, Validation Loss : 0.91, Validation Accuracy : 0.73
Epoch : 87, Train Loss : 1.12, Train Accuracy : 0.65, Validation Loss : 1.01, Validation Accuracy : 0.69
Epoch : 88, Train Loss : 1.13, Train Accuracy : 0.64, Validation Loss : 0.88, Validation Accuracy : 0.74
Epoch : 89, Train Loss : 1.11, Train Accuracy : 0.65, Validation Loss : 0.89, Validation Accuracy : 0.73
Epoch : 90, Train Loss : 1.12, Train Accuracy : 0.65, Validation Loss : 0.99, Validation Accuracy : 0.70
Epoch : 91, Train Loss : 1.13, Train Accuracy : 0.65, Validation Loss : 0.95, Validation Accuracy : 0.71
Epoch : 92, Train Loss : 1.10, Train Accuracy : 0.65, Validation Loss : 1.36, Validation Accuracy : 0.62
Epoch : 93, Train Loss : 1.11, Train Accuracy : 0.65, Validation Loss : 0.93, Validation Accuracy : 0.73
Epoch : 94, Train Loss : 1.10, Train Accuracy : 0.65, Validation Loss : 0.92, Validation Accuracy : 0.71
Epoch : 95, Train Loss : 1.08, Train Accuracy : 0.66, Validation Loss : 1.24, Validation Accuracy : 0.63
Epoch : 96, Train Loss : 1.10, Train Accuracy : 0.65, Validation Loss : 1.08, Validation Accuracy : 0.66
Epoch : 97, Train Loss : 1.11, Train Accuracy : 0.65, Validation Loss : 1.34, Validation Accuracy : 0.56
Epoch : 98, Train Loss : 1.10, Train Accuracy : 0.66, Validation Loss : 0.96, Validation Accuracy : 0.70
Epoch : 99, Train Loss : 1.07, Train Accuracy : 0.66, Validation Loss : 0.96, Validation Accuracy : 0.71
Epoch : 100, Train Loss : 1.09, Train Accuracy : 0.66, Validation Loss : 1.13, Validation Accuracy : 0.65
Epoch : 101, Train Loss : 1.09, Train Accuracy : 0.65, Validation Loss : 0.98, Validation Accuracy : 0.70
Epoch : 102, Train Loss : 1.06, Train Accuracy : 0.66, Validation Loss : 0.90, Validation Accuracy : 0.71
Epoch : 103, Train Loss : 1.06, Train Accuracy : 0.67, Validation Loss : 0.92, Validation Accuracy : 0.72
Epoch : 104, Train Loss : 1.08, Train Accuracy : 0.66, Validation Loss : 0.91, Validation Accuracy : 0.72
Epoch : 105, Train Loss : 1.09, Train Accuracy : 0.66, Validation Loss : 1.01, Validation Accuracy : 0.68
Epoch : 106, Train Loss : 1.05, Train Accuracy : 0.67, Validation Loss : 0.98, Validation Accuracy : 0.69
Epoch : 107, Train Loss : 1.05, Train Accuracy : 0.67, Validation Loss : 1.06, Validation Accuracy : 0.66
Epoch : 108, Train Loss : 1.06, Train Accuracy : 0.67, Validation Loss : 1.00, Validation Accuracy : 0.68
Epoch : 109, Train Loss : 1.07, Train Accuracy : 0.66, Validation Loss : 0.93, Validation Accuracy : 0.71
Epoch : 110, Train Loss : 1.04, Train Accuracy : 0.67, Validation Loss : 0.86, Validation Accuracy : 0.74
Epoch : 111, Train Loss : 1.08, Train Accuracy : 0.66, Validation Loss : 0.91, Validation Accuracy : 0.73
Epoch : 112, Train Loss : 1.06, Train Accuracy : 0.67, Validation Loss : 1.09, Validation Accuracy : 0.66
Epoch : 113, Train Loss : 1.04, Train Accuracy : 0.67, Validation Loss : 0.91, Validation Accuracy : 0.73
Epoch : 114, Train Loss : 1.04, Train Accuracy : 0.67, Validation Loss : 0.97, Validation Accuracy : 0.70
Epoch : 115, Train Loss : 1.03, Train Accuracy : 0.68, Validation Loss : 0.89, Validation Accuracy : 0.72
Epoch : 116, Train Loss : 1.02, Train Accuracy : 0.67, Validation Loss : 0.92, Validation Accuracy : 0.71
Epoch : 117, Train Loss : 1.02, Train Accuracy : 0.67, Validation Loss : 0.98, Validation Accuracy : 0.70
Epoch : 118, Train Loss : 1.02, Train Accuracy : 0.68, Validation Loss : 1.01, Validation Accuracy : 0.68
Epoch : 119, Train Loss : 1.04, Train Accuracy : 0.67, Validation Loss : 0.99, Validation Accuracy : 0.70
Epoch : 120, Train Loss : 1.02, Train Accuracy : 0.68, Validation Loss : 0.85, Validation Accuracy : 0.74
Epoch : 121, Train Loss : 1.01, Train Accuracy : 0.68, Validation Loss : 1.09, Validation Accuracy : 0.65
Epoch : 122, Train Loss : 1.02, Train Accuracy : 0.68, Validation Loss : 0.94, Validation Accuracy : 0.72
Epoch : 123, Train Loss : 1.02, Train Accuracy : 0.68, Validation Loss : 0.88, Validation Accuracy : 0.73
Epoch : 124, Train Loss : 1.02, Train Accuracy : 0.67, Validation Loss : 0.92, Validation Accuracy : 0.72
Epoch : 125, Train Loss : 1.02, Train Accuracy : 0.68, Validation Loss : 0.84, Validation Accuracy : 0.74
Epoch : 126, Train Loss : 1.01, Train Accuracy : 0.68, Validation Loss : 1.02, Validation Accuracy : 0.68
Epoch : 127, Train Loss : 1.02, Train Accuracy : 0.68, Validation Loss : 0.85, Validation Accuracy : 0.74
Epoch : 128, Train Loss : 1.00, Train Accuracy : 0.68, Validation Loss : 0.81, Validation Accuracy : 0.76
Epoch : 129, Train Loss : 0.98, Train Accuracy : 0.69, Validation Loss : 0.92, Validation Accuracy : 0.72
Epoch : 130, Train Loss : 1.02, Train Accuracy : 0.68, Validation Loss : 0.96, Validation Accuracy : 0.69
Epoch : 131, Train Loss : 0.98, Train Accuracy : 0.69, Validation Loss : 1.07, Validation Accuracy : 0.66
Epoch : 132, Train Loss : 0.99, Train Accuracy : 0.68, Validation Loss : 0.79, Validation Accuracy : 0.77
Epoch : 133, Train Loss : 0.97, Train Accuracy : 0.69, Validation Loss : 0.94, Validation Accuracy : 0.70
Epoch : 134, Train Loss : 0.98, Train Accuracy : 0.69, Validation Loss : 1.05, Validation Accuracy : 0.67
Epoch : 135, Train Loss : 0.99, Train Accuracy : 0.69, Validation Loss : 0.90, Validation Accuracy : 0.73
Epoch : 136, Train Loss : 1.00, Train Accuracy : 0.68, Validation Loss : 0.77, Validation Accuracy : 0.78
Epoch : 137, Train Loss : 0.97, Train Accuracy : 0.69, Validation Loss : 0.90, Validation Accuracy : 0.72
Epoch : 138, Train Loss : 0.99, Train Accuracy : 0.69, Validation Loss : 0.73, Validation Accuracy : 0.79
Epoch : 139, Train Loss : 0.97, Train Accuracy : 0.69, Validation Loss : 0.96, Validation Accuracy : 0.71
Epoch : 140, Train Loss : 0.99, Train Accuracy : 0.69, Validation Loss : 0.78, Validation Accuracy : 0.76
Epoch : 141, Train Loss : 0.94, Train Accuracy : 0.70, Validation Loss : 0.74, Validation Accuracy : 0.78
Epoch : 142, Train Loss : 0.97, Train Accuracy : 0.69, Validation Loss : 0.97, Validation Accuracy : 0.70
Epoch : 143, Train Loss : 0.97, Train Accuracy : 0.69, Validation Loss : 0.75, Validation Accuracy : 0.77
Epoch : 144, Train Loss : 0.96, Train Accuracy : 0.70, Validation Loss : 0.97, Validation Accuracy : 0.69
Epoch : 145, Train Loss : 0.95, Train Accuracy : 0.70, Validation Loss : 1.04, Validation Accuracy : 0.67
Epoch : 146, Train Loss : 0.99, Train Accuracy : 0.68, Validation Loss : 0.79, Validation Accuracy : 0.76
Epoch : 147, Train Loss : 0.93, Train Accuracy : 0.70, Validation Loss : 0.78, Validation Accuracy : 0.76
Epoch : 148, Train Loss : 0.94, Train Accuracy : 0.70, Validation Loss : 0.86, Validation Accuracy : 0.73
Epoch : 149, Train Loss : 0.93, Train Accuracy : 0.71, Validation Loss : 0.79, Validation Accuracy : 0.75
Epoch : 150, Train Loss : 0.96, Train Accuracy : 0.69, Validation Loss : 0.93, Validation Accuracy : 0.70
Epoch : 151, Train Loss : 0.95, Train Accuracy : 0.69, Validation Loss : 0.77, Validation Accuracy : 0.77
Epoch : 152, Train Loss : 0.97, Train Accuracy : 0.70, Validation Loss : 0.92, Validation Accuracy : 0.71
Epoch : 153, Train Loss : 0.95, Train Accuracy : 0.70, Validation Loss : 0.71, Validation Accuracy : 0.79
Epoch : 154, Train Loss : 0.93, Train Accuracy : 0.71, Validation Loss : 0.73, Validation Accuracy : 0.77
Epoch : 155, Train Loss : 0.93, Train Accuracy : 0.71, Validation Loss : 0.89, Validation Accuracy : 0.72
Epoch : 156, Train Loss : 0.95, Train Accuracy : 0.70, Validation Loss : 0.85, Validation Accuracy : 0.74
Epoch : 157, Train Loss : 0.94, Train Accuracy : 0.70, Validation Loss : 0.71, Validation Accuracy : 0.79
Epoch : 158, Train Loss : 0.95, Train Accuracy : 0.70, Validation Loss : 0.69, Validation Accuracy : 0.80
Epoch : 159, Train Loss : 0.93, Train Accuracy : 0.71, Validation Loss : 0.74, Validation Accuracy : 0.79
Epoch : 160, Train Loss : 0.93, Train Accuracy : 0.71, Validation Loss : 0.98, Validation Accuracy : 0.70
Epoch : 161, Train Loss : 0.95, Train Accuracy : 0.70, Validation Loss : 0.79, Validation Accuracy : 0.77
Epoch : 162, Train Loss : 0.93, Train Accuracy : 0.71, Validation Loss : 0.89, Validation Accuracy : 0.72
Epoch : 163, Train Loss : 0.94, Train Accuracy : 0.70, Validation Loss : 0.72, Validation Accuracy : 0.79
Epoch : 164, Train Loss : 0.93, Train Accuracy : 0.71, Validation Loss : 0.89, Validation Accuracy : 0.73
Epoch : 165, Train Loss : 0.92, Train Accuracy : 0.71, Validation Loss : 0.91, Validation Accuracy : 0.71
Epoch : 166, Train Loss : 0.91, Train Accuracy : 0.71, Validation Loss : 0.77, Validation Accuracy : 0.76
Epoch : 167, Train Loss : 0.93, Train Accuracy : 0.71, Validation Loss : 0.94, Validation Accuracy : 0.71
Epoch : 168, Train Loss : 0.95, Train Accuracy : 0.70, Validation Loss : 0.83, Validation Accuracy : 0.74
Epoch : 169, Train Loss : 0.92, Train Accuracy : 0.71, Validation Loss : 0.73, Validation Accuracy : 0.79
Epoch : 170, Train Loss : 0.92, Train Accuracy : 0.71, Validation Loss : 1.62, Validation Accuracy : 0.56
Epoch : 171, Train Loss : 0.93, Train Accuracy : 0.71, Validation Loss : 0.81, Validation Accuracy : 0.76
Epoch : 172, Train Loss : 0.92, Train Accuracy : 0.70, Validation Loss : 0.78, Validation Accuracy : 0.76
Epoch : 173, Train Loss : 0.91, Train Accuracy : 0.71, Validation Loss : 0.83, Validation Accuracy : 0.74
Epoch : 174, Train Loss : 0.93, Train Accuracy : 0.71, Validation Loss : 0.88, Validation Accuracy : 0.73
Epoch : 175, Train Loss : 0.92, Train Accuracy : 0.70, Validation Loss : 1.13, Validation Accuracy : 0.70
Epoch : 176, Train Loss : 0.90, Train Accuracy : 0.71, Validation Loss : 0.71, Validation Accuracy : 0.79
Epoch : 177, Train Loss : 0.92, Train Accuracy : 0.71, Validation Loss : 0.87, Validation Accuracy : 0.73
Epoch : 178, Train Loss : 0.90, Train Accuracy : 0.71, Validation Loss : 0.69, Validation Accuracy : 0.79
Epoch : 179, Train Loss : 0.91, Train Accuracy : 0.71, Validation Loss : 0.75, Validation Accuracy : 0.77
Epoch : 180, Train Loss : 0.89, Train Accuracy : 0.72, Validation Loss : 0.72, Validation Accuracy : 0.78
Epoch : 181, Train Loss : 0.88, Train Accuracy : 0.72, Validation Loss : 0.77, Validation Accuracy : 0.77
Epoch : 182, Train Loss : 0.90, Train Accuracy : 0.72, Validation Loss : 0.74, Validation Accuracy : 0.77
Epoch : 183, Train Loss : 0.90, Train Accuracy : 0.71, Validation Loss : 0.76, Validation Accuracy : 0.77
Epoch : 184, Train Loss : 0.88, Train Accuracy : 0.72, Validation Loss : 0.76, Validation Accuracy : 0.76
Epoch : 185, Train Loss : 0.89, Train Accuracy : 0.72, Validation Loss : 0.77, Validation Accuracy : 0.76
Epoch : 186, Train Loss : 0.90, Train Accuracy : 0.71, Validation Loss : 0.71, Validation Accuracy : 0.79
Epoch : 187, Train Loss : 0.87, Train Accuracy : 0.72, Validation Loss : 0.77, Validation Accuracy : 0.77
Epoch : 188, Train Loss : 0.89, Train Accuracy : 0.72, Validation Loss : 0.92, Validation Accuracy : 0.71
Epoch : 189, Train Loss : 0.89, Train Accuracy : 0.72, Validation Loss : 0.73, Validation Accuracy : 0.77
Epoch : 190, Train Loss : 0.89, Train Accuracy : 0.72, Validation Loss : 0.77, Validation Accuracy : 0.77
Epoch : 191, Train Loss : 0.88, Train Accuracy : 0.72, Validation Loss : 0.77, Validation Accuracy : 0.76
Epoch : 192, Train Loss : 0.88, Train Accuracy : 0.72, Validation Loss : 0.86, Validation Accuracy : 0.74
Epoch : 193, Train Loss : 0.87, Train Accuracy : 0.72, Validation Loss : 0.68, Validation Accuracy : 0.80
Epoch : 194, Train Loss : 0.89, Train Accuracy : 0.72, Validation Loss : 0.83, Validation Accuracy : 0.74
Epoch : 195, Train Loss : 0.89, Train Accuracy : 0.71, Validation Loss : 0.82, Validation Accuracy : 0.74
Epoch : 196, Train Loss : 0.89, Train Accuracy : 0.72, Validation Loss : 0.85, Validation Accuracy : 0.73
Epoch : 197, Train Loss : 0.87, Train Accuracy : 0.72, Validation Loss : 0.81, Validation Accuracy : 0.76
Epoch : 198, Train Loss : 0.86, Train Accuracy : 0.73, Validation Loss : 0.73, Validation Accuracy : 0.77
Epoch : 199, Train Loss : 0.87, Train Accuracy : 0.72, Validation Loss : 0.81, Validation Accuracy : 0.75
Epoch : 200, Train Loss : 0.87, Train Accuracy : 0.72, Validation Loss : 0.64, Validation Accuracy : 0.81
Epoch : 201, Train Loss : 0.84, Train Accuracy : 0.73, Validation Loss : 1.60, Validation Accuracy : 0.57
Epoch : 202, Train Loss : 0.91, Train Accuracy : 0.71, Validation Loss : 0.68, Validation Accuracy : 0.80
Epoch : 203, Train Loss : 0.85, Train Accuracy : 0.73, Validation Loss : 0.66, Validation Accuracy : 0.80
Epoch : 204, Train Loss : 0.87, Train Accuracy : 0.72, Validation Loss : 0.80, Validation Accuracy : 0.75
Epoch : 205, Train Loss : 0.85, Train Accuracy : 0.73, Validation Loss : 0.64, Validation Accuracy : 0.80
Epoch : 206, Train Loss : 0.85, Train Accuracy : 0.72, Validation Loss : 0.83, Validation Accuracy : 0.74
Epoch : 207, Train Loss : 0.85, Train Accuracy : 0.73, Validation Loss : 0.76, Validation Accuracy : 0.76
Epoch : 208, Train Loss : 0.87, Train Accuracy : 0.72, Validation Loss : 0.67, Validation Accuracy : 0.80
Epoch : 209, Train Loss : 0.85, Train Accuracy : 0.73, Validation Loss : 0.67, Validation Accuracy : 0.81
Epoch : 210, Train Loss : 0.86, Train Accuracy : 0.72, Validation Loss : 0.80, Validation Accuracy : 0.75
Epoch : 211, Train Loss : 0.84, Train Accuracy : 0.73, Validation Loss : 1.01, Validation Accuracy : 0.69
Epoch : 212, Train Loss : 0.89, Train Accuracy : 0.72, Validation Loss : 0.68, Validation Accuracy : 0.79
Epoch : 213, Train Loss : 0.86, Train Accuracy : 0.73, Validation Loss : 0.79, Validation Accuracy : 0.76
Epoch : 214, Train Loss : 0.84, Train Accuracy : 0.73, Validation Loss : 0.64, Validation Accuracy : 0.81
Epoch : 215, Train Loss : 0.86, Train Accuracy : 0.73, Validation Loss : 0.69, Validation Accuracy : 0.79
Epoch : 216, Train Loss : 0.84, Train Accuracy : 0.73, Validation Loss : 0.81, Validation Accuracy : 0.74
Epoch : 217, Train Loss : 0.83, Train Accuracy : 0.73, Validation Loss : 0.91, Validation Accuracy : 0.72
Epoch : 218, Train Loss : 0.84, Train Accuracy : 0.73, Validation Loss : 0.64, Validation Accuracy : 0.81
Epoch : 219, Train Loss : 0.85, Train Accuracy : 0.73, Validation Loss : 0.78, Validation Accuracy : 0.77
Epoch : 220, Train Loss : 0.86, Train Accuracy : 0.73, Validation Loss : 0.71, Validation Accuracy : 0.78
Epoch : 221, Train Loss : 0.84, Train Accuracy : 0.73, Validation Loss : 1.44, Validation Accuracy : 0.67
Epoch : 222, Train Loss : 0.86, Train Accuracy : 0.73, Validation Loss : 0.65, Validation Accuracy : 0.81
Epoch : 223, Train Loss : 0.83, Train Accuracy : 0.74, Validation Loss : 1.04, Validation Accuracy : 0.66
Epoch : 224, Train Loss : 0.85, Train Accuracy : 0.73, Validation Loss : 0.80, Validation Accuracy : 0.75
Epoch : 225, Train Loss : 0.85, Train Accuracy : 0.73, Validation Loss : 0.70, Validation Accuracy : 0.78
Epoch : 226, Train Loss : 0.84, Train Accuracy : 0.73, Validation Loss : 0.67, Validation Accuracy : 0.80
Epoch : 227, Train Loss : 0.85, Train Accuracy : 0.73, Validation Loss : 0.92, Validation Accuracy : 0.72
Epoch : 228, Train Loss : 0.86, Train Accuracy : 0.72, Validation Loss : 0.74, Validation Accuracy : 0.76
Epoch : 229, Train Loss : 0.85, Train Accuracy : 0.72, Validation Loss : 0.69, Validation Accuracy : 0.78
Epoch : 230, Train Loss : 0.83, Train Accuracy : 0.73, Validation Loss : 1.07, Validation Accuracy : 0.68
Epoch : 231, Train Loss : 0.86, Train Accuracy : 0.73, Validation Loss : 0.61, Validation Accuracy : 0.82
Epoch : 232, Train Loss : 0.85, Train Accuracy : 0.73, Validation Loss : 0.72, Validation Accuracy : 0.78
Epoch : 233, Train Loss : 0.84, Train Accuracy : 0.73, Validation Loss : 0.77, Validation Accuracy : 0.76
Epoch : 234, Train Loss : 0.85, Train Accuracy : 0.73, Validation Loss : 0.78, Validation Accuracy : 0.75
Epoch : 235, Train Loss : 0.84, Train Accuracy : 0.73, Validation Loss : 0.89, Validation Accuracy : 0.73
Epoch : 236, Train Loss : 0.86, Train Accuracy : 0.72, Validation Loss : 0.61, Validation Accuracy : 0.82
Epoch : 237, Train Loss : 0.81, Train Accuracy : 0.74, Validation Loss : 0.77, Validation Accuracy : 0.76
Epoch : 238, Train Loss : 0.81, Train Accuracy : 0.74, Validation Loss : 0.69, Validation Accuracy : 0.78
Epoch : 239, Train Loss : 0.82, Train Accuracy : 0.73, Validation Loss : 0.73, Validation Accuracy : 0.77
Epoch : 240, Train Loss : 0.83, Train Accuracy : 0.74, Validation Loss : 0.87, Validation Accuracy : 0.74
Epoch : 241, Train Loss : 0.87, Train Accuracy : 0.72, Validation Loss : 0.86, Validation Accuracy : 0.74
Epoch : 242, Train Loss : 0.82, Train Accuracy : 0.74, Validation Loss : 0.65, Validation Accuracy : 0.81
Epoch : 243, Train Loss : 0.82, Train Accuracy : 0.73, Validation Loss : 0.65, Validation Accuracy : 0.81
Epoch : 244, Train Loss : 0.82, Train Accuracy : 0.74, Validation Loss : 0.80, Validation Accuracy : 0.75
Epoch : 245, Train Loss : 0.83, Train Accuracy : 0.73, Validation Loss : 1.64, Validation Accuracy : 0.61
Epoch : 246, Train Loss : 0.84, Train Accuracy : 0.73, Validation Loss : 0.79, Validation Accuracy : 0.75
Epoch : 247, Train Loss : 0.81, Train Accuracy : 0.74, Validation Loss : 0.64, Validation Accuracy : 0.81
Epoch : 248, Train Loss : 0.81, Train Accuracy : 0.74, Validation Loss : 0.69, Validation Accuracy : 0.80
Epoch : 249, Train Loss : 0.83, Train Accuracy : 0.74, Validation Loss : 0.66, Validation Accuracy : 0.79
Epoch : 250, Train Loss : 0.84, Train Accuracy : 0.73, Validation Loss : 0.83, Validation Accuracy : 0.74
Epoch : 251, Train Loss : 0.82, Train Accuracy : 0.74, Validation Loss : 0.63, Validation Accuracy : 0.81
Epoch : 252, Train Loss : 0.81, Train Accuracy : 0.74, Validation Loss : 0.60, Validation Accuracy : 0.82
Epoch : 253, Train Loss : 0.80, Train Accuracy : 0.74, Validation Loss : 0.71, Validation Accuracy : 0.79
Epoch : 254, Train Loss : 0.80, Train Accuracy : 0.75, Validation Loss : 0.62, Validation Accuracy : 0.82
Epoch : 255, Train Loss : 0.80, Train Accuracy : 0.75, Validation Loss : 1.27, Validation Accuracy : 0.66
Epoch : 256, Train Loss : 0.83, Train Accuracy : 0.73, Validation Loss : 0.70, Validation Accuracy : 0.79
Epoch : 257, Train Loss : 0.81, Train Accuracy : 0.74, Validation Loss : 0.79, Validation Accuracy : 0.75
Epoch : 258, Train Loss : 0.82, Train Accuracy : 0.73, Validation Loss : 0.66, Validation Accuracy : 0.80
Epoch : 259, Train Loss : 0.81, Train Accuracy : 0.74, Validation Loss : 1.60, Validation Accuracy : 0.55
Epoch : 260, Train Loss : 0.82, Train Accuracy : 0.74, Validation Loss : 0.69, Validation Accuracy : 0.79
Epoch : 261, Train Loss : 0.81, Train Accuracy : 0.74, Validation Loss : 0.66, Validation Accuracy : 0.81
Epoch : 262, Train Loss : 0.81, Train Accuracy : 0.74, Validation Loss : 0.68, Validation Accuracy : 0.79
Epoch : 263, Train Loss : 0.80, Train Accuracy : 0.74, Validation Loss : 0.85, Validation Accuracy : 0.73
Epoch : 264, Train Loss : 0.81, Train Accuracy : 0.74, Validation Loss : 0.67, Validation Accuracy : 0.80
Epoch : 265, Train Loss : 0.79, Train Accuracy : 0.75, Validation Loss : 0.60, Validation Accuracy : 0.81
Epoch : 266, Train Loss : 0.79, Train Accuracy : 0.75, Validation Loss : 0.67, Validation Accuracy : 0.80
Epoch : 267, Train Loss : 0.80, Train Accuracy : 0.74, Validation Loss : 0.76, Validation Accuracy : 0.77
Epoch : 268, Train Loss : 0.78, Train Accuracy : 0.75, Validation Loss : 0.62, Validation Accuracy : 0.81
Epoch : 269, Train Loss : 0.80, Train Accuracy : 0.75, Validation Loss : 0.67, Validation Accuracy : 0.81
Epoch : 270, Train Loss : 0.78, Train Accuracy : 0.75, Validation Loss : 0.62, Validation Accuracy : 0.81
Epoch : 271, Train Loss : 0.79, Train Accuracy : 0.75, Validation Loss : 0.61, Validation Accuracy : 0.82
Epoch : 272, Train Loss : 0.78, Train Accuracy : 0.75, Validation Loss : 0.94, Validation Accuracy : 0.70
Epoch : 273, Train Loss : 0.83, Train Accuracy : 0.74, Validation Loss : 0.61, Validation Accuracy : 0.82
Epoch : 274, Train Loss : 0.81, Train Accuracy : 0.74, Validation Loss : 0.73, Validation Accuracy : 0.78
Epoch : 275, Train Loss : 0.80, Train Accuracy : 0.74, Validation Loss : 0.65, Validation Accuracy : 0.80
Epoch : 276, Train Loss : 0.80, Train Accuracy : 0.74, Validation Loss : 0.68, Validation Accuracy : 0.79
Epoch : 277, Train Loss : 0.79, Train Accuracy : 0.75, Validation Loss : 0.61, Validation Accuracy : 0.82
Epoch : 278, Train Loss : 0.76, Train Accuracy : 0.75, Validation Loss : 0.66, Validation Accuracy : 0.79
Epoch : 279, Train Loss : 0.79, Train Accuracy : 0.75, Validation Loss : 0.63, Validation Accuracy : 0.80
Epoch : 280, Train Loss : 0.77, Train Accuracy : 0.75, Validation Loss : 0.69, Validation Accuracy : 0.79
Epoch : 281, Train Loss : 0.77, Train Accuracy : 0.75, Validation Loss : 0.75, Validation Accuracy : 0.76
Epoch : 282, Train Loss : 0.79, Train Accuracy : 0.74, Validation Loss : 0.71, Validation Accuracy : 0.78
Epoch : 283, Train Loss : 0.76, Train Accuracy : 0.76, Validation Loss : 0.58, Validation Accuracy : 0.83
Epoch : 284, Train Loss : 0.78, Train Accuracy : 0.75, Validation Loss : 0.59, Validation Accuracy : 0.84
Epoch : 285, Train Loss : 0.79, Train Accuracy : 0.74, Validation Loss : 0.95, Validation Accuracy : 0.70
Epoch : 286, Train Loss : 0.78, Train Accuracy : 0.75, Validation Loss : 0.58, Validation Accuracy : 0.84
Epoch : 287, Train Loss : 0.79, Train Accuracy : 0.75, Validation Loss : 0.69, Validation Accuracy : 0.79
Epoch : 288, Train Loss : 0.78, Train Accuracy : 0.75, Validation Loss : 0.72, Validation Accuracy : 0.79
Epoch : 289, Train Loss : 0.79, Train Accuracy : 0.74, Validation Loss : 0.65, Validation Accuracy : 0.81
Epoch : 290, Train Loss : 0.76, Train Accuracy : 0.75, Validation Loss : 0.62, Validation Accuracy : 0.81
Epoch : 291, Train Loss : 0.75, Train Accuracy : 0.76, Validation Loss : 0.65, Validation Accuracy : 0.80
Epoch : 292, Train Loss : 0.78, Train Accuracy : 0.75, Validation Loss : 0.58, Validation Accuracy : 0.82
Epoch : 293, Train Loss : 0.76, Train Accuracy : 0.76, Validation Loss : 0.65, Validation Accuracy : 0.80
Epoch : 294, Train Loss : 0.76, Train Accuracy : 0.76, Validation Loss : 0.88, Validation Accuracy : 0.74
Epoch : 295, Train Loss : 0.77, Train Accuracy : 0.75, Validation Loss : 1.13, Validation Accuracy : 0.68
Epoch : 296, Train Loss : 0.80, Train Accuracy : 0.74, Validation Loss : 0.67, Validation Accuracy : 0.80
Epoch : 297, Train Loss : 0.76, Train Accuracy : 0.76, Validation Loss : 0.60, Validation Accuracy : 0.81
Epoch : 298, Train Loss : 0.76, Train Accuracy : 0.75, Validation Loss : 0.74, Validation Accuracy : 0.76
Epoch : 299, Train Loss : 0.78, Train Accuracy : 0.75, Validation Loss : 0.69, Validation Accuracy : 0.80
Epoch : 300, Train Loss : 0.78, Train Accuracy : 0.75, Validation Loss : 0.60, Validation Accuracy : 0.81
Epoch : 301, Train Loss : 0.76, Train Accuracy : 0.76, Validation Loss : 0.81, Validation Accuracy : 0.74
Epoch : 302, Train Loss : 0.79, Train Accuracy : 0.74, Validation Loss : 0.90, Validation Accuracy : 0.72
Epoch : 303, Train Loss : 0.82, Train Accuracy : 0.74, Validation Loss : 0.79, Validation Accuracy : 0.78
Epoch : 304, Train Loss : 0.77, Train Accuracy : 0.76, Validation Loss : 1.11, Validation Accuracy : 0.68
Epoch : 305, Train Loss : 0.77, Train Accuracy : 0.75, Validation Loss : 0.97, Validation Accuracy : 0.69
Epoch : 306, Train Loss : 0.79, Train Accuracy : 0.75, Validation Loss : 0.74, Validation Accuracy : 0.77
Epoch : 307, Train Loss : 0.77, Train Accuracy : 0.75, Validation Loss : 0.82, Validation Accuracy : 0.75
Epoch : 308, Train Loss : 0.81, Train Accuracy : 0.74, Validation Loss : 0.62, Validation Accuracy : 0.81
Epoch : 309, Train Loss : 0.76, Train Accuracy : 0.75, Validation Loss : 0.56, Validation Accuracy : 0.84
Epoch : 310, Train Loss : 0.75, Train Accuracy : 0.76, Validation Loss : 1.00, Validation Accuracy : 0.70
Epoch : 311, Train Loss : 0.78, Train Accuracy : 0.75, Validation Loss : 0.68, Validation Accuracy : 0.79
Epoch : 312, Train Loss : 0.77, Train Accuracy : 0.75, Validation Loss : 0.64, Validation Accuracy : 0.80
Epoch : 313, Train Loss : 0.76, Train Accuracy : 0.76, Validation Loss : 0.70, Validation Accuracy : 0.78
Epoch : 314, Train Loss : 0.78, Train Accuracy : 0.75, Validation Loss : 0.60, Validation Accuracy : 0.82
Epoch : 315, Train Loss : 0.75, Train Accuracy : 0.76, Validation Loss : 0.78, Validation Accuracy : 0.75
Epoch : 316, Train Loss : 0.75, Train Accuracy : 0.76, Validation Loss : 0.64, Validation Accuracy : 0.80
Epoch : 317, Train Loss : 0.76, Train Accuracy : 0.76, Validation Loss : 0.74, Validation Accuracy : 0.77
Epoch : 318, Train Loss : 0.75, Train Accuracy : 0.76, Validation Loss : 0.54, Validation Accuracy : 0.84
Epoch : 319, Train Loss : 0.76, Train Accuracy : 0.75, Validation Loss : 0.55, Validation Accuracy : 0.83
Epoch : 320, Train Loss : 0.78, Train Accuracy : 0.75, Validation Loss : 0.79, Validation Accuracy : 0.75
Epoch : 321, Train Loss : 0.79, Train Accuracy : 0.75, Validation Loss : 0.59, Validation Accuracy : 0.82
Epoch : 322, Train Loss : 0.78, Train Accuracy : 0.75, Validation Loss : 0.69, Validation Accuracy : 0.78
Epoch : 323, Train Loss : 0.76, Train Accuracy : 0.76, Validation Loss : 0.60, Validation Accuracy : 0.81
Epoch : 324, Train Loss : 0.76, Train Accuracy : 0.75, Validation Loss : 1.90, Validation Accuracy : 0.55
Epoch : 325, Train Loss : 0.86, Train Accuracy : 0.73, Validation Loss : 0.76, Validation Accuracy : 0.77
Epoch : 326, Train Loss : 0.77, Train Accuracy : 0.75, Validation Loss : 0.57, Validation Accuracy : 0.83
Epoch : 327, Train Loss : 0.78, Train Accuracy : 0.75, Validation Loss : 0.96, Validation Accuracy : 0.70
Epoch : 328, Train Loss : 0.81, Train Accuracy : 0.74, Validation Loss : 0.61, Validation Accuracy : 0.81
Epoch : 329, Train Loss : 0.76, Train Accuracy : 0.75, Validation Loss : 0.61, Validation Accuracy : 0.81
Epoch : 330, Train Loss : 0.75, Train Accuracy : 0.76, Validation Loss : 0.59, Validation Accuracy : 0.83
Epoch : 331, Train Loss : 0.77, Train Accuracy : 0.75, Validation Loss : 0.73, Validation Accuracy : 0.78
Epoch : 332, Train Loss : 0.76, Train Accuracy : 0.76, Validation Loss : 0.59, Validation Accuracy : 0.83
Epoch : 333, Train Loss : 0.76, Train Accuracy : 0.76, Validation Loss : 0.64, Validation Accuracy : 0.80
Epoch : 334, Train Loss : 0.76, Train Accuracy : 0.75, Validation Loss : 0.58, Validation Accuracy : 0.83
Epoch : 335, Train Loss : 0.75, Train Accuracy : 0.76, Validation Loss : 0.74, Validation Accuracy : 0.78
Epoch : 336, Train Loss : 0.75, Train Accuracy : 0.76, Validation Loss : 0.64, Validation Accuracy : 0.81
Epoch : 337, Train Loss : 0.76, Train Accuracy : 0.75, Validation Loss : 0.66, Validation Accuracy : 0.80
Epoch : 338, Train Loss : 0.75, Train Accuracy : 0.76, Validation Loss : 0.71, Validation Accuracy : 0.78
Epoch : 339, Train Loss : 0.77, Train Accuracy : 0.75, Validation Loss : 0.61, Validation Accuracy : 0.81
Epoch : 340, Train Loss : 0.73, Train Accuracy : 0.76, Validation Loss : 0.56, Validation Accuracy : 0.84
Epoch : 341, Train Loss : 0.74, Train Accuracy : 0.76, Validation Loss : 0.54, Validation Accuracy : 0.84
Epoch : 342, Train Loss : 0.72, Train Accuracy : 0.77, Validation Loss : 0.54, Validation Accuracy : 0.84
Epoch : 343, Train Loss : 0.74, Train Accuracy : 0.76, Validation Loss : 0.72, Validation Accuracy : 0.78
Epoch : 344, Train Loss : 0.75, Train Accuracy : 0.76, Validation Loss : 0.55, Validation Accuracy : 0.83
Epoch : 345, Train Loss : 0.75, Train Accuracy : 0.76, Validation Loss : 1.06, Validation Accuracy : 0.68
Epoch : 346, Train Loss : 0.77, Train Accuracy : 0.76, Validation Loss : 0.59, Validation Accuracy : 0.82
Epoch : 347, Train Loss : 0.76, Train Accuracy : 0.76, Validation Loss : 0.63, Validation Accuracy : 0.81
Epoch : 348, Train Loss : 0.72, Train Accuracy : 0.77, Validation Loss : 0.77, Validation Accuracy : 0.77
Epoch : 349, Train Loss : 0.76, Train Accuracy : 0.75, Validation Loss : 0.62, Validation Accuracy : 0.80
Epoch : 350, Train Loss : 0.75, Train Accuracy : 0.76, Validation Loss : 0.59, Validation Accuracy : 0.82
Epoch : 351, Train Loss : 0.76, Train Accuracy : 0.75, Validation Loss : 0.94, Validation Accuracy : 0.71
Epoch : 352, Train Loss : 0.74, Train Accuracy : 0.76, Validation Loss : 0.68, Validation Accuracy : 0.79
Epoch : 353, Train Loss : 0.73, Train Accuracy : 0.76, Validation Loss : 0.53, Validation Accuracy : 0.85
Epoch : 354, Train Loss : 0.74, Train Accuracy : 0.76, Validation Loss : 0.61, Validation Accuracy : 0.82
Epoch : 355, Train Loss : 0.76, Train Accuracy : 0.75, Validation Loss : 1.22, Validation Accuracy : 0.69
Epoch : 356, Train Loss : 0.76, Train Accuracy : 0.76, Validation Loss : 0.56, Validation Accuracy : 0.83
Epoch : 357, Train Loss : 0.73, Train Accuracy : 0.77, Validation Loss : 0.56, Validation Accuracy : 0.82
Epoch : 358, Train Loss : 0.76, Train Accuracy : 0.75, Validation Loss : 0.64, Validation Accuracy : 0.80
Epoch : 359, Train Loss : 0.74, Train Accuracy : 0.76, Validation Loss : 0.52, Validation Accuracy : 0.85
Epoch : 360, Train Loss : 0.75, Train Accuracy : 0.76, Validation Loss : 0.59, Validation Accuracy : 0.82
Epoch : 361, Train Loss : 0.73, Train Accuracy : 0.76, Validation Loss : 1.12, Validation Accuracy : 0.67
Epoch : 362, Train Loss : 0.75, Train Accuracy : 0.76, Validation Loss : 0.65, Validation Accuracy : 0.79
Epoch : 363, Train Loss : 0.73, Train Accuracy : 0.76, Validation Loss : 0.75, Validation Accuracy : 0.78
Epoch : 364, Train Loss : 0.73, Train Accuracy : 0.77, Validation Loss : 0.51, Validation Accuracy : 0.85
Epoch : 365, Train Loss : 0.72, Train Accuracy : 0.77, Validation Loss : 0.62, Validation Accuracy : 0.81
Epoch : 366, Train Loss : 0.74, Train Accuracy : 0.76, Validation Loss : 0.53, Validation Accuracy : 0.85
Epoch : 367, Train Loss : 0.72, Train Accuracy : 0.77, Validation Loss : 0.65, Validation Accuracy : 0.80
Epoch : 368, Train Loss : 0.72, Train Accuracy : 0.76, Validation Loss : 0.66, Validation Accuracy : 0.80
Epoch : 369, Train Loss : 0.73, Train Accuracy : 0.76, Validation Loss : 0.56, Validation Accuracy : 0.84
Epoch : 370, Train Loss : 0.73, Train Accuracy : 0.76, Validation Loss : 0.53, Validation Accuracy : 0.84
Epoch : 371, Train Loss : 0.72, Train Accuracy : 0.77, Validation Loss : 1.65, Validation Accuracy : 0.65
Epoch : 372, Train Loss : 0.75, Train Accuracy : 0.76, Validation Loss : 0.52, Validation Accuracy : 0.85
Epoch : 373, Train Loss : 0.71, Train Accuracy : 0.77, Validation Loss : 0.56, Validation Accuracy : 0.82
Epoch : 374, Train Loss : 0.74, Train Accuracy : 0.76, Validation Loss : 0.54, Validation Accuracy : 0.84
Epoch : 375, Train Loss : 0.70, Train Accuracy : 0.78, Validation Loss : 0.51, Validation Accuracy : 0.85
Epoch : 376, Train Loss : 0.72, Train Accuracy : 0.77, Validation Loss : 0.64, Validation Accuracy : 0.80
Epoch : 377, Train Loss : 0.71, Train Accuracy : 0.77, Validation Loss : 0.66, Validation Accuracy : 0.79
Epoch : 378, Train Loss : 0.74, Train Accuracy : 0.77, Validation Loss : 0.57, Validation Accuracy : 0.83
Epoch : 379, Train Loss : 0.71, Train Accuracy : 0.77, Validation Loss : 1.42, Validation Accuracy : 0.61
Epoch : 380, Train Loss : 0.78, Train Accuracy : 0.75, Validation Loss : 0.51, Validation Accuracy : 0.86
Epoch : 381, Train Loss : 0.73, Train Accuracy : 0.76, Validation Loss : 0.49, Validation Accuracy : 0.86
Epoch : 382, Train Loss : 0.72, Train Accuracy : 0.77, Validation Loss : 0.64, Validation Accuracy : 0.80
Epoch : 383, Train Loss : 0.72, Train Accuracy : 0.77, Validation Loss : 0.53, Validation Accuracy : 0.85
Epoch : 384, Train Loss : 0.71, Train Accuracy : 0.77, Validation Loss : 1.18, Validation Accuracy : 0.64
Epoch : 385, Train Loss : 0.77, Train Accuracy : 0.75, Validation Loss : 0.79, Validation Accuracy : 0.76
Epoch : 386, Train Loss : 0.75, Train Accuracy : 0.76, Validation Loss : 0.94, Validation Accuracy : 0.72
Epoch : 387, Train Loss : 0.72, Train Accuracy : 0.77, Validation Loss : 0.61, Validation Accuracy : 0.81
Epoch : 388, Train Loss : 0.72, Train Accuracy : 0.77, Validation Loss : 1.15, Validation Accuracy : 0.68
Epoch : 389, Train Loss : 0.73, Train Accuracy : 0.77, Validation Loss : 0.68, Validation Accuracy : 0.80
Epoch : 390, Train Loss : 0.74, Train Accuracy : 0.76, Validation Loss : 0.56, Validation Accuracy : 0.84
Epoch : 391, Train Loss : 0.72, Train Accuracy : 0.77, Validation Loss : 0.78, Validation Accuracy : 0.76
Epoch : 392, Train Loss : 0.71, Train Accuracy : 0.77, Validation Loss : 0.74, Validation Accuracy : 0.78
Epoch : 393, Train Loss : 0.71, Train Accuracy : 0.77, Validation Loss : 0.55, Validation Accuracy : 0.83
Epoch : 394, Train Loss : 0.72, Train Accuracy : 0.77, Validation Loss : 0.55, Validation Accuracy : 0.83
Epoch : 395, Train Loss : 0.69, Train Accuracy : 0.77, Validation Loss : 0.52, Validation Accuracy : 0.85
Epoch : 396, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.59, Validation Accuracy : 0.82
Epoch : 397, Train Loss : 0.72, Train Accuracy : 0.77, Validation Loss : 0.49, Validation Accuracy : 0.86
Epoch : 398, Train Loss : 0.72, Train Accuracy : 0.77, Validation Loss : 0.58, Validation Accuracy : 0.82
Epoch : 399, Train Loss : 0.72, Train Accuracy : 0.77, Validation Loss : 0.52, Validation Accuracy : 0.84
Epoch : 400, Train Loss : 0.70, Train Accuracy : 0.77, Validation Loss : 0.57, Validation Accuracy : 0.83
Epoch : 401, Train Loss : 0.73, Train Accuracy : 0.76, Validation Loss : 0.66, Validation Accuracy : 0.80
Epoch : 402, Train Loss : 0.70, Train Accuracy : 0.77, Validation Loss : 0.51, Validation Accuracy : 0.85
Epoch : 403, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.59, Validation Accuracy : 0.82
Epoch : 404, Train Loss : 0.73, Train Accuracy : 0.77, Validation Loss : 0.68, Validation Accuracy : 0.79
Epoch : 405, Train Loss : 0.74, Train Accuracy : 0.76, Validation Loss : 0.70, Validation Accuracy : 0.79
Epoch : 406, Train Loss : 0.68, Train Accuracy : 0.78, Validation Loss : 0.53, Validation Accuracy : 0.83
Epoch : 407, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.54, Validation Accuracy : 0.84
Epoch : 408, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.51, Validation Accuracy : 0.85
Epoch : 409, Train Loss : 0.72, Train Accuracy : 0.77, Validation Loss : 0.56, Validation Accuracy : 0.83
Epoch : 410, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.57, Validation Accuracy : 0.83
Epoch : 411, Train Loss : 0.68, Train Accuracy : 0.78, Validation Loss : 0.58, Validation Accuracy : 0.82
Epoch : 412, Train Loss : 0.72, Train Accuracy : 0.77, Validation Loss : 0.54, Validation Accuracy : 0.84
Epoch : 413, Train Loss : 0.70, Train Accuracy : 0.77, Validation Loss : 0.65, Validation Accuracy : 0.79
Epoch : 414, Train Loss : 0.68, Train Accuracy : 0.78, Validation Loss : 0.50, Validation Accuracy : 0.85
Epoch : 415, Train Loss : 0.71, Train Accuracy : 0.77, Validation Loss : 0.63, Validation Accuracy : 0.80
Epoch : 416, Train Loss : 0.70, Train Accuracy : 0.77, Validation Loss : 0.64, Validation Accuracy : 0.80
Epoch : 417, Train Loss : 0.72, Train Accuracy : 0.77, Validation Loss : 0.52, Validation Accuracy : 0.84
Epoch : 418, Train Loss : 0.71, Train Accuracy : 0.77, Validation Loss : 0.52, Validation Accuracy : 0.85
Epoch : 419, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.50, Validation Accuracy : 0.86
Epoch : 420, Train Loss : 0.71, Train Accuracy : 0.77, Validation Loss : 0.49, Validation Accuracy : 0.87
Epoch : 421, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.53, Validation Accuracy : 0.85
Epoch : 422, Train Loss : 0.70, Train Accuracy : 0.78, Validation Loss : 0.58, Validation Accuracy : 0.83
Epoch : 423, Train Loss : 0.72, Train Accuracy : 0.77, Validation Loss : 0.66, Validation Accuracy : 0.80
Epoch : 424, Train Loss : 0.71, Train Accuracy : 0.77, Validation Loss : 0.50, Validation Accuracy : 0.86
Epoch : 425, Train Loss : 0.68, Train Accuracy : 0.78, Validation Loss : 0.57, Validation Accuracy : 0.83
Epoch : 426, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.60, Validation Accuracy : 0.81
Epoch : 427, Train Loss : 0.72, Train Accuracy : 0.77, Validation Loss : 0.75, Validation Accuracy : 0.78
Epoch : 428, Train Loss : 0.70, Train Accuracy : 0.78, Validation Loss : 0.51, Validation Accuracy : 0.84
Epoch : 429, Train Loss : 0.68, Train Accuracy : 0.78, Validation Loss : 0.59, Validation Accuracy : 0.82
Epoch : 430, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.51, Validation Accuracy : 0.85
Epoch : 431, Train Loss : 0.67, Train Accuracy : 0.78, Validation Loss : 0.49, Validation Accuracy : 0.85
Epoch : 432, Train Loss : 0.71, Train Accuracy : 0.77, Validation Loss : 0.71, Validation Accuracy : 0.78
Epoch : 433, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.88, Validation Accuracy : 0.74
Epoch : 434, Train Loss : 0.73, Train Accuracy : 0.76, Validation Loss : 0.60, Validation Accuracy : 0.82
Epoch : 435, Train Loss : 0.73, Train Accuracy : 0.76, Validation Loss : 0.58, Validation Accuracy : 0.82
Epoch : 436, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 3.47, Validation Accuracy : 0.52
Epoch : 437, Train Loss : 0.81, Train Accuracy : 0.76, Validation Loss : 0.87, Validation Accuracy : 0.73
Epoch : 438, Train Loss : 0.74, Train Accuracy : 0.76, Validation Loss : 0.58, Validation Accuracy : 0.82
Epoch : 439, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.54, Validation Accuracy : 0.84
Epoch : 440, Train Loss : 0.70, Train Accuracy : 0.78, Validation Loss : 0.62, Validation Accuracy : 0.82
Epoch : 441, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.81, Validation Accuracy : 0.75
Epoch : 442, Train Loss : 0.72, Train Accuracy : 0.77, Validation Loss : 0.55, Validation Accuracy : 0.84
Epoch : 443, Train Loss : 0.69, Train Accuracy : 0.77, Validation Loss : 1.35, Validation Accuracy : 0.65
Epoch : 444, Train Loss : 0.72, Train Accuracy : 0.77, Validation Loss : 0.68, Validation Accuracy : 0.80
Epoch : 445, Train Loss : 0.71, Train Accuracy : 0.77, Validation Loss : 0.56, Validation Accuracy : 0.84
Epoch : 446, Train Loss : 0.70, Train Accuracy : 0.78, Validation Loss : 0.51, Validation Accuracy : 0.85
Epoch : 447, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.48, Validation Accuracy : 0.85
Epoch : 448, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.54, Validation Accuracy : 0.84
Epoch : 449, Train Loss : 0.68, Train Accuracy : 0.78, Validation Loss : 0.56, Validation Accuracy : 0.83
Epoch : 450, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.55, Validation Accuracy : 0.84
Epoch : 451, Train Loss : 0.70, Train Accuracy : 0.77, Validation Loss : 1.38, Validation Accuracy : 0.62
Epoch : 452, Train Loss : 0.77, Train Accuracy : 0.75, Validation Loss : 0.59, Validation Accuracy : 0.82
Epoch : 453, Train Loss : 0.71, Train Accuracy : 0.77, Validation Loss : 1.20, Validation Accuracy : 0.64
Epoch : 454, Train Loss : 0.75, Train Accuracy : 0.76, Validation Loss : 0.51, Validation Accuracy : 0.84
Epoch : 455, Train Loss : 0.70, Train Accuracy : 0.77, Validation Loss : 0.62, Validation Accuracy : 0.80
Epoch : 456, Train Loss : 0.68, Train Accuracy : 0.78, Validation Loss : 0.50, Validation Accuracy : 0.85
Epoch : 457, Train Loss : 0.67, Train Accuracy : 0.78, Validation Loss : 0.60, Validation Accuracy : 0.81
Epoch : 458, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.50, Validation Accuracy : 0.85
Epoch : 459, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.50, Validation Accuracy : 0.85
Epoch : 460, Train Loss : 0.67, Train Accuracy : 0.79, Validation Loss : 0.50, Validation Accuracy : 0.85
Epoch : 461, Train Loss : 0.67, Train Accuracy : 0.78, Validation Loss : 0.50, Validation Accuracy : 0.85
Epoch : 462, Train Loss : 0.70, Train Accuracy : 0.77, Validation Loss : 0.51, Validation Accuracy : 0.85
Epoch : 463, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.51, Validation Accuracy : 0.84
Epoch : 464, Train Loss : 0.65, Train Accuracy : 0.79, Validation Loss : 0.56, Validation Accuracy : 0.84
Epoch : 465, Train Loss : 0.66, Train Accuracy : 0.78, Validation Loss : 0.48, Validation Accuracy : 0.86
Epoch : 466, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.71, Validation Accuracy : 0.78
Epoch : 467, Train Loss : 0.72, Train Accuracy : 0.77, Validation Loss : 0.62, Validation Accuracy : 0.81
Epoch : 468, Train Loss : 0.70, Train Accuracy : 0.77, Validation Loss : 0.77, Validation Accuracy : 0.77
Epoch : 469, Train Loss : 0.71, Train Accuracy : 0.78, Validation Loss : 0.52, Validation Accuracy : 0.85
Epoch : 470, Train Loss : 0.66, Train Accuracy : 0.79, Validation Loss : 0.50, Validation Accuracy : 0.85
Epoch : 471, Train Loss : 0.68, Train Accuracy : 0.78, Validation Loss : 0.50, Validation Accuracy : 0.86
Epoch : 472, Train Loss : 0.66, Train Accuracy : 0.79, Validation Loss : 0.54, Validation Accuracy : 0.84
Epoch : 473, Train Loss : 0.66, Train Accuracy : 0.79, Validation Loss : 0.47, Validation Accuracy : 0.86
Epoch : 474, Train Loss : 0.70, Train Accuracy : 0.78, Validation Loss : 0.97, Validation Accuracy : 0.71
Epoch : 475, Train Loss : 0.67, Train Accuracy : 0.78, Validation Loss : 0.54, Validation Accuracy : 0.83
Epoch : 476, Train Loss : 0.67, Train Accuracy : 0.78, Validation Loss : 0.52, Validation Accuracy : 0.84
Epoch : 477, Train Loss : 0.68, Train Accuracy : 0.78, Validation Loss : 0.49, Validation Accuracy : 0.87
Epoch : 478, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.49, Validation Accuracy : 0.85
Epoch : 479, Train Loss : 0.68, Train Accuracy : 0.78, Validation Loss : 0.46, Validation Accuracy : 0.87
Epoch : 480, Train Loss : 0.67, Train Accuracy : 0.78, Validation Loss : 0.68, Validation Accuracy : 0.79
Epoch : 481, Train Loss : 0.68, Train Accuracy : 0.78, Validation Loss : 0.47, Validation Accuracy : 0.86
Epoch : 482, Train Loss : 0.68, Train Accuracy : 0.78, Validation Loss : 0.50, Validation Accuracy : 0.85
Epoch : 483, Train Loss : 0.68, Train Accuracy : 0.78, Validation Loss : 0.53, Validation Accuracy : 0.84
Epoch : 484, Train Loss : 0.67, Train Accuracy : 0.79, Validation Loss : 0.57, Validation Accuracy : 0.82
Epoch : 485, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.54, Validation Accuracy : 0.83
Epoch : 486, Train Loss : 0.66, Train Accuracy : 0.79, Validation Loss : 0.50, Validation Accuracy : 0.85
Epoch : 487, Train Loss : 0.69, Train Accuracy : 0.77, Validation Loss : 0.47, Validation Accuracy : 0.87
Epoch : 488, Train Loss : 0.68, Train Accuracy : 0.78, Validation Loss : 0.88, Validation Accuracy : 0.74
Epoch : 489, Train Loss : 0.71, Train Accuracy : 0.78, Validation Loss : 0.56, Validation Accuracy : 0.83
Epoch : 490, Train Loss : 0.70, Train Accuracy : 0.78, Validation Loss : 0.65, Validation Accuracy : 0.79
Epoch : 491, Train Loss : 0.70, Train Accuracy : 0.78, Validation Loss : 1.40, Validation Accuracy : 0.63
Epoch : 492, Train Loss : 0.75, Train Accuracy : 0.76, Validation Loss : 0.61, Validation Accuracy : 0.82
Epoch : 493, Train Loss : 0.68, Train Accuracy : 0.79, Validation Loss : 0.61, Validation Accuracy : 0.81
Epoch : 494, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.78, Validation Accuracy : 0.76
Epoch : 495, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.47, Validation Accuracy : 0.86
Epoch : 496, Train Loss : 0.69, Train Accuracy : 0.78, Validation Loss : 0.52, Validation Accuracy : 0.84
Epoch : 497, Train Loss : 0.68, Train Accuracy : 0.78, Validation Loss : 0.64, Validation Accuracy : 0.80
Epoch : 498, Train Loss : 0.70, Train Accuracy : 0.77, Validation Loss : 0.54, Validation Accuracy : 0.84
Epoch : 499, Train Loss : 0.66, Train Accuracy : 0.79, Validation Loss : 0.49, Validation Accuracy : 0.86



















In [ ]:



    


fig, (ax1, ax2) = plt.subplots(1,2, figsize=(15,6))

fig.suptitle(f"model_nn_5_layers_simple : 500 Epochs, 0.01 SGD", fontsize=16)
ax1.plot(history4['train_acc'], label='train accuracy')
ax1.plot(history4['valid_acc'], label='valid accuracy')
ax1.legend()


ax2.plot(history4['train_loss'], label='train loss')
ax2.plot(history4['valid_loss'], label='valid loss')
ax2.legend()

fig.show()



    















    


























In [ ]:



    


model_3_layers = NNModel_3Layers(input_size, output_size)
history5 = fit(model_3_layers, train_dl, test_dl, 500, 0.001, optim=torch.optim.SGD)



    















    






Epoch : 0, Train Loss : 2.46, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 1, Train Loss : 2.31, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 2, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 3, Train Loss : 2.31, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 4, Train Loss : 2.31, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 5, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 6, Train Loss : 2.30, Train Accuracy : 0.11, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 7, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 8, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 9, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 10, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.11
Epoch : 11, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 12, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 13, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 14, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 15, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 16, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 17, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.30, Validation Accuracy : 0.12
Epoch : 18, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.29, Validation Accuracy : 0.12
Epoch : 19, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.29, Validation Accuracy : 0.13
Epoch : 20, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.29, Validation Accuracy : 0.12
Epoch : 21, Train Loss : 2.29, Train Accuracy : 0.13, Validation Loss : 2.29, Validation Accuracy : 0.13
Epoch : 22, Train Loss : 2.29, Train Accuracy : 0.13, Validation Loss : 2.29, Validation Accuracy : 0.13
Epoch : 23, Train Loss : 2.29, Train Accuracy : 0.13, Validation Loss : 2.29, Validation Accuracy : 0.13
Epoch : 24, Train Loss : 2.29, Train Accuracy : 0.13, Validation Loss : 2.28, Validation Accuracy : 0.13
Epoch : 25, Train Loss : 2.28, Train Accuracy : 0.13, Validation Loss : 2.28, Validation Accuracy : 0.14
Epoch : 26, Train Loss : 2.29, Train Accuracy : 0.14, Validation Loss : 2.28, Validation Accuracy : 0.13
Epoch : 27, Train Loss : 2.28, Train Accuracy : 0.14, Validation Loss : 2.28, Validation Accuracy : 0.14
Epoch : 28, Train Loss : 2.28, Train Accuracy : 0.14, Validation Loss : 2.28, Validation Accuracy : 0.14
Epoch : 29, Train Loss : 2.28, Train Accuracy : 0.14, Validation Loss : 2.28, Validation Accuracy : 0.14
Epoch : 30, Train Loss : 2.28, Train Accuracy : 0.14, Validation Loss : 2.27, Validation Accuracy : 0.14
Epoch : 31, Train Loss : 2.28, Train Accuracy : 0.14, Validation Loss : 2.27, Validation Accuracy : 0.14
Epoch : 32, Train Loss : 2.27, Train Accuracy : 0.14, Validation Loss : 2.26, Validation Accuracy : 0.15
Epoch : 33, Train Loss : 2.27, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 34, Train Loss : 2.27, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 35, Train Loss : 2.28, Train Accuracy : 0.14, Validation Loss : 2.26, Validation Accuracy : 0.15
Epoch : 36, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 37, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.25, Validation Accuracy : 0.16
Epoch : 38, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 39, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 40, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 41, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.17
Epoch : 42, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.22, Validation Accuracy : 0.18
Epoch : 43, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.17
Epoch : 44, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.18
Epoch : 45, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.24, Validation Accuracy : 0.17
Epoch : 46, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 47, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 48, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 49, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.20, Validation Accuracy : 0.17
Epoch : 50, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.20, Validation Accuracy : 0.17
Epoch : 51, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 52, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.18
Epoch : 53, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.20, Validation Accuracy : 0.18
Epoch : 54, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 55, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 56, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.17
Epoch : 57, Train Loss : 2.25, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 58, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.20, Validation Accuracy : 0.18
Epoch : 59, Train Loss : 2.24, Train Accuracy : 0.17, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 60, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.20, Validation Accuracy : 0.18
Epoch : 61, Train Loss : 2.24, Train Accuracy : 0.17, Validation Loss : 2.20, Validation Accuracy : 0.18
Epoch : 62, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.21, Validation Accuracy : 0.18
Epoch : 63, Train Loss : 2.23, Train Accuracy : 0.16, Validation Loss : 2.19, Validation Accuracy : 0.19
Epoch : 64, Train Loss : 2.24, Train Accuracy : 0.17, Validation Loss : 2.20, Validation Accuracy : 0.19
Epoch : 65, Train Loss : 2.23, Train Accuracy : 0.17, Validation Loss : 2.20, Validation Accuracy : 0.20
Epoch : 66, Train Loss : 2.23, Train Accuracy : 0.17, Validation Loss : 2.19, Validation Accuracy : 0.20
Epoch : 67, Train Loss : 2.23, Train Accuracy : 0.17, Validation Loss : 2.18, Validation Accuracy : 0.20
Epoch : 68, Train Loss : 2.21, Train Accuracy : 0.18, Validation Loss : 2.17, Validation Accuracy : 0.21
Epoch : 69, Train Loss : 2.21, Train Accuracy : 0.18, Validation Loss : 2.17, Validation Accuracy : 0.21
Epoch : 70, Train Loss : 2.21, Train Accuracy : 0.18, Validation Loss : 2.15, Validation Accuracy : 0.22
Epoch : 71, Train Loss : 2.20, Train Accuracy : 0.19, Validation Loss : 2.14, Validation Accuracy : 0.22
Epoch : 72, Train Loss : 2.20, Train Accuracy : 0.19, Validation Loss : 2.13, Validation Accuracy : 0.21
Epoch : 73, Train Loss : 2.19, Train Accuracy : 0.19, Validation Loss : 2.14, Validation Accuracy : 0.23
Epoch : 74, Train Loss : 2.19, Train Accuracy : 0.19, Validation Loss : 2.14, Validation Accuracy : 0.23
Epoch : 75, Train Loss : 2.18, Train Accuracy : 0.19, Validation Loss : 2.13, Validation Accuracy : 0.23
Epoch : 76, Train Loss : 2.19, Train Accuracy : 0.19, Validation Loss : 2.14, Validation Accuracy : 0.23
Epoch : 77, Train Loss : 2.18, Train Accuracy : 0.20, Validation Loss : 2.12, Validation Accuracy : 0.23
Epoch : 78, Train Loss : 2.18, Train Accuracy : 0.19, Validation Loss : 2.13, Validation Accuracy : 0.24
Epoch : 79, Train Loss : 2.18, Train Accuracy : 0.20, Validation Loss : 2.12, Validation Accuracy : 0.24
Epoch : 80, Train Loss : 2.18, Train Accuracy : 0.19, Validation Loss : 2.12, Validation Accuracy : 0.23
Epoch : 81, Train Loss : 2.17, Train Accuracy : 0.20, Validation Loss : 2.09, Validation Accuracy : 0.22
Epoch : 82, Train Loss : 2.18, Train Accuracy : 0.20, Validation Loss : 2.12, Validation Accuracy : 0.24
Epoch : 83, Train Loss : 2.17, Train Accuracy : 0.20, Validation Loss : 2.11, Validation Accuracy : 0.24
Epoch : 84, Train Loss : 2.17, Train Accuracy : 0.20, Validation Loss : 2.11, Validation Accuracy : 0.24
Epoch : 85, Train Loss : 2.17, Train Accuracy : 0.20, Validation Loss : 2.10, Validation Accuracy : 0.24
Epoch : 86, Train Loss : 2.16, Train Accuracy : 0.20, Validation Loss : 2.09, Validation Accuracy : 0.24
Epoch : 87, Train Loss : 2.17, Train Accuracy : 0.20, Validation Loss : 2.11, Validation Accuracy : 0.25
Epoch : 88, Train Loss : 2.17, Train Accuracy : 0.20, Validation Loss : 2.10, Validation Accuracy : 0.24
Epoch : 89, Train Loss : 2.16, Train Accuracy : 0.21, Validation Loss : 2.10, Validation Accuracy : 0.25
Epoch : 90, Train Loss : 2.16, Train Accuracy : 0.20, Validation Loss : 2.09, Validation Accuracy : 0.25
Epoch : 91, Train Loss : 2.14, Train Accuracy : 0.21, Validation Loss : 2.09, Validation Accuracy : 0.25
Epoch : 92, Train Loss : 2.16, Train Accuracy : 0.20, Validation Loss : 2.07, Validation Accuracy : 0.25
Epoch : 93, Train Loss : 2.15, Train Accuracy : 0.21, Validation Loss : 2.08, Validation Accuracy : 0.25
Epoch : 94, Train Loss : 2.14, Train Accuracy : 0.21, Validation Loss : 2.09, Validation Accuracy : 0.26
Epoch : 95, Train Loss : 2.15, Train Accuracy : 0.21, Validation Loss : 2.06, Validation Accuracy : 0.24
Epoch : 96, Train Loss : 2.14, Train Accuracy : 0.21, Validation Loss : 2.07, Validation Accuracy : 0.25
Epoch : 97, Train Loss : 2.13, Train Accuracy : 0.21, Validation Loss : 2.07, Validation Accuracy : 0.26
Epoch : 98, Train Loss : 2.13, Train Accuracy : 0.22, Validation Loss : 2.07, Validation Accuracy : 0.26
Epoch : 99, Train Loss : 2.14, Train Accuracy : 0.22, Validation Loss : 2.06, Validation Accuracy : 0.26
Epoch : 100, Train Loss : 2.14, Train Accuracy : 0.22, Validation Loss : 2.05, Validation Accuracy : 0.26
Epoch : 101, Train Loss : 2.13, Train Accuracy : 0.22, Validation Loss : 2.05, Validation Accuracy : 0.27
Epoch : 102, Train Loss : 2.11, Train Accuracy : 0.23, Validation Loss : 2.04, Validation Accuracy : 0.28
Epoch : 103, Train Loss : 2.12, Train Accuracy : 0.23, Validation Loss : 2.05, Validation Accuracy : 0.29
Epoch : 104, Train Loss : 2.11, Train Accuracy : 0.23, Validation Loss : 2.04, Validation Accuracy : 0.28
Epoch : 105, Train Loss : 2.12, Train Accuracy : 0.23, Validation Loss : 2.04, Validation Accuracy : 0.29
Epoch : 106, Train Loss : 2.11, Train Accuracy : 0.23, Validation Loss : 2.03, Validation Accuracy : 0.29
Epoch : 107, Train Loss : 2.10, Train Accuracy : 0.24, Validation Loss : 2.00, Validation Accuracy : 0.31
Epoch : 108, Train Loss : 2.11, Train Accuracy : 0.23, Validation Loss : 2.00, Validation Accuracy : 0.30
Epoch : 109, Train Loss : 2.09, Train Accuracy : 0.25, Validation Loss : 2.01, Validation Accuracy : 0.31
Epoch : 110, Train Loss : 2.10, Train Accuracy : 0.24, Validation Loss : 1.98, Validation Accuracy : 0.32
Epoch : 111, Train Loss : 2.10, Train Accuracy : 0.24, Validation Loss : 1.98, Validation Accuracy : 0.31
Epoch : 112, Train Loss : 2.09, Train Accuracy : 0.25, Validation Loss : 1.99, Validation Accuracy : 0.32
Epoch : 113, Train Loss : 2.09, Train Accuracy : 0.25, Validation Loss : 1.99, Validation Accuracy : 0.32
Epoch : 114, Train Loss : 2.08, Train Accuracy : 0.25, Validation Loss : 1.98, Validation Accuracy : 0.32
Epoch : 115, Train Loss : 2.05, Train Accuracy : 0.26, Validation Loss : 1.97, Validation Accuracy : 0.32
Epoch : 116, Train Loss : 2.06, Train Accuracy : 0.25, Validation Loss : 1.97, Validation Accuracy : 0.33
Epoch : 117, Train Loss : 2.08, Train Accuracy : 0.25, Validation Loss : 1.97, Validation Accuracy : 0.33
Epoch : 118, Train Loss : 2.06, Train Accuracy : 0.25, Validation Loss : 1.97, Validation Accuracy : 0.32
Epoch : 119, Train Loss : 2.07, Train Accuracy : 0.26, Validation Loss : 1.96, Validation Accuracy : 0.32
Epoch : 120, Train Loss : 2.05, Train Accuracy : 0.26, Validation Loss : 1.92, Validation Accuracy : 0.33
Epoch : 121, Train Loss : 2.05, Train Accuracy : 0.26, Validation Loss : 1.94, Validation Accuracy : 0.34
Epoch : 122, Train Loss : 2.05, Train Accuracy : 0.27, Validation Loss : 1.92, Validation Accuracy : 0.35
Epoch : 123, Train Loss : 2.06, Train Accuracy : 0.25, Validation Loss : 1.92, Validation Accuracy : 0.34
Epoch : 124, Train Loss : 2.02, Train Accuracy : 0.28, Validation Loss : 1.90, Validation Accuracy : 0.35
Epoch : 125, Train Loss : 2.03, Train Accuracy : 0.27, Validation Loss : 1.89, Validation Accuracy : 0.34
Epoch : 126, Train Loss : 2.02, Train Accuracy : 0.27, Validation Loss : 1.89, Validation Accuracy : 0.37
Epoch : 127, Train Loss : 2.00, Train Accuracy : 0.28, Validation Loss : 1.87, Validation Accuracy : 0.36
Epoch : 128, Train Loss : 2.00, Train Accuracy : 0.28, Validation Loss : 1.86, Validation Accuracy : 0.37
Epoch : 129, Train Loss : 1.99, Train Accuracy : 0.28, Validation Loss : 1.85, Validation Accuracy : 0.37
Epoch : 130, Train Loss : 2.00, Train Accuracy : 0.28, Validation Loss : 1.85, Validation Accuracy : 0.38
Epoch : 131, Train Loss : 1.98, Train Accuracy : 0.29, Validation Loss : 1.84, Validation Accuracy : 0.39
Epoch : 132, Train Loss : 1.99, Train Accuracy : 0.28, Validation Loss : 1.84, Validation Accuracy : 0.38
Epoch : 133, Train Loss : 1.96, Train Accuracy : 0.29, Validation Loss : 1.82, Validation Accuracy : 0.38
Epoch : 134, Train Loss : 1.98, Train Accuracy : 0.29, Validation Loss : 1.84, Validation Accuracy : 0.40
Epoch : 135, Train Loss : 1.98, Train Accuracy : 0.29, Validation Loss : 1.85, Validation Accuracy : 0.39
Epoch : 136, Train Loss : 1.97, Train Accuracy : 0.29, Validation Loss : 1.82, Validation Accuracy : 0.40
Epoch : 137, Train Loss : 1.96, Train Accuracy : 0.29, Validation Loss : 1.81, Validation Accuracy : 0.40
Epoch : 138, Train Loss : 1.96, Train Accuracy : 0.29, Validation Loss : 1.81, Validation Accuracy : 0.39
Epoch : 139, Train Loss : 1.95, Train Accuracy : 0.30, Validation Loss : 1.81, Validation Accuracy : 0.39
Epoch : 140, Train Loss : 1.95, Train Accuracy : 0.29, Validation Loss : 1.81, Validation Accuracy : 0.41
Epoch : 141, Train Loss : 1.94, Train Accuracy : 0.30, Validation Loss : 1.79, Validation Accuracy : 0.41
Epoch : 142, Train Loss : 1.93, Train Accuracy : 0.31, Validation Loss : 1.79, Validation Accuracy : 0.41
Epoch : 143, Train Loss : 1.92, Train Accuracy : 0.31, Validation Loss : 1.79, Validation Accuracy : 0.42
Epoch : 144, Train Loss : 1.92, Train Accuracy : 0.31, Validation Loss : 1.77, Validation Accuracy : 0.43
Epoch : 145, Train Loss : 1.91, Train Accuracy : 0.32, Validation Loss : 1.76, Validation Accuracy : 0.42
Epoch : 146, Train Loss : 1.90, Train Accuracy : 0.32, Validation Loss : 1.77, Validation Accuracy : 0.41
Epoch : 147, Train Loss : 1.91, Train Accuracy : 0.31, Validation Loss : 1.77, Validation Accuracy : 0.43
Epoch : 148, Train Loss : 1.91, Train Accuracy : 0.32, Validation Loss : 1.75, Validation Accuracy : 0.43
Epoch : 149, Train Loss : 1.91, Train Accuracy : 0.32, Validation Loss : 1.77, Validation Accuracy : 0.44
Epoch : 150, Train Loss : 1.90, Train Accuracy : 0.33, Validation Loss : 1.73, Validation Accuracy : 0.45
Epoch : 151, Train Loss : 1.88, Train Accuracy : 0.34, Validation Loss : 1.71, Validation Accuracy : 0.48
Epoch : 152, Train Loss : 1.86, Train Accuracy : 0.36, Validation Loss : 1.62, Validation Accuracy : 0.54
Epoch : 153, Train Loss : 1.85, Train Accuracy : 0.38, Validation Loss : 1.60, Validation Accuracy : 0.56
Epoch : 154, Train Loss : 1.81, Train Accuracy : 0.39, Validation Loss : 1.57, Validation Accuracy : 0.56
Epoch : 155, Train Loss : 1.81, Train Accuracy : 0.39, Validation Loss : 1.54, Validation Accuracy : 0.57
Epoch : 156, Train Loss : 1.81, Train Accuracy : 0.40, Validation Loss : 1.54, Validation Accuracy : 0.57
Epoch : 157, Train Loss : 1.79, Train Accuracy : 0.40, Validation Loss : 1.54, Validation Accuracy : 0.58
Epoch : 158, Train Loss : 1.79, Train Accuracy : 0.41, Validation Loss : 1.52, Validation Accuracy : 0.58
Epoch : 159, Train Loss : 1.77, Train Accuracy : 0.41, Validation Loss : 1.54, Validation Accuracy : 0.57
Epoch : 160, Train Loss : 1.76, Train Accuracy : 0.41, Validation Loss : 1.49, Validation Accuracy : 0.60
Epoch : 161, Train Loss : 1.76, Train Accuracy : 0.41, Validation Loss : 1.49, Validation Accuracy : 0.60
Epoch : 162, Train Loss : 1.75, Train Accuracy : 0.42, Validation Loss : 1.49, Validation Accuracy : 0.60
Epoch : 163, Train Loss : 1.75, Train Accuracy : 0.41, Validation Loss : 1.49, Validation Accuracy : 0.59
Epoch : 164, Train Loss : 1.74, Train Accuracy : 0.42, Validation Loss : 1.49, Validation Accuracy : 0.60
Epoch : 165, Train Loss : 1.72, Train Accuracy : 0.43, Validation Loss : 1.47, Validation Accuracy : 0.60
Epoch : 166, Train Loss : 1.72, Train Accuracy : 0.43, Validation Loss : 1.48, Validation Accuracy : 0.59
Epoch : 167, Train Loss : 1.71, Train Accuracy : 0.43, Validation Loss : 1.47, Validation Accuracy : 0.60
Epoch : 168, Train Loss : 1.73, Train Accuracy : 0.42, Validation Loss : 1.46, Validation Accuracy : 0.61
Epoch : 169, Train Loss : 1.72, Train Accuracy : 0.43, Validation Loss : 1.45, Validation Accuracy : 0.61
Epoch : 170, Train Loss : 1.70, Train Accuracy : 0.43, Validation Loss : 1.47, Validation Accuracy : 0.61
Epoch : 171, Train Loss : 1.71, Train Accuracy : 0.43, Validation Loss : 1.44, Validation Accuracy : 0.60
Epoch : 172, Train Loss : 1.69, Train Accuracy : 0.43, Validation Loss : 1.44, Validation Accuracy : 0.61
Epoch : 173, Train Loss : 1.70, Train Accuracy : 0.43, Validation Loss : 1.44, Validation Accuracy : 0.62
Epoch : 174, Train Loss : 1.68, Train Accuracy : 0.45, Validation Loss : 1.45, Validation Accuracy : 0.62
Epoch : 175, Train Loss : 1.70, Train Accuracy : 0.43, Validation Loss : 1.43, Validation Accuracy : 0.62
Epoch : 176, Train Loss : 1.69, Train Accuracy : 0.44, Validation Loss : 1.43, Validation Accuracy : 0.62
Epoch : 177, Train Loss : 1.67, Train Accuracy : 0.44, Validation Loss : 1.40, Validation Accuracy : 0.62
Epoch : 178, Train Loss : 1.68, Train Accuracy : 0.44, Validation Loss : 1.41, Validation Accuracy : 0.62
Epoch : 179, Train Loss : 1.68, Train Accuracy : 0.44, Validation Loss : 1.41, Validation Accuracy : 0.63
Epoch : 180, Train Loss : 1.69, Train Accuracy : 0.44, Validation Loss : 1.39, Validation Accuracy : 0.63
Epoch : 181, Train Loss : 1.67, Train Accuracy : 0.45, Validation Loss : 1.40, Validation Accuracy : 0.62
Epoch : 182, Train Loss : 1.67, Train Accuracy : 0.44, Validation Loss : 1.41, Validation Accuracy : 0.62
Epoch : 183, Train Loss : 1.66, Train Accuracy : 0.45, Validation Loss : 1.39, Validation Accuracy : 0.63
Epoch : 184, Train Loss : 1.66, Train Accuracy : 0.44, Validation Loss : 1.40, Validation Accuracy : 0.61
Epoch : 185, Train Loss : 1.65, Train Accuracy : 0.45, Validation Loss : 1.37, Validation Accuracy : 0.63
Epoch : 186, Train Loss : 1.67, Train Accuracy : 0.45, Validation Loss : 1.38, Validation Accuracy : 0.63
Epoch : 187, Train Loss : 1.65, Train Accuracy : 0.45, Validation Loss : 1.39, Validation Accuracy : 0.62
Epoch : 188, Train Loss : 1.65, Train Accuracy : 0.45, Validation Loss : 1.38, Validation Accuracy : 0.62
Epoch : 189, Train Loss : 1.65, Train Accuracy : 0.45, Validation Loss : 1.39, Validation Accuracy : 0.63
Epoch : 190, Train Loss : 1.64, Train Accuracy : 0.45, Validation Loss : 1.39, Validation Accuracy : 0.62
Epoch : 191, Train Loss : 1.64, Train Accuracy : 0.46, Validation Loss : 1.38, Validation Accuracy : 0.63
Epoch : 192, Train Loss : 1.62, Train Accuracy : 0.46, Validation Loss : 1.36, Validation Accuracy : 0.63
Epoch : 193, Train Loss : 1.65, Train Accuracy : 0.45, Validation Loss : 1.38, Validation Accuracy : 0.63
Epoch : 194, Train Loss : 1.63, Train Accuracy : 0.45, Validation Loss : 1.35, Validation Accuracy : 0.63
Epoch : 195, Train Loss : 1.62, Train Accuracy : 0.46, Validation Loss : 1.33, Validation Accuracy : 0.63
Epoch : 196, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.36, Validation Accuracy : 0.63
Epoch : 197, Train Loss : 1.64, Train Accuracy : 0.46, Validation Loss : 1.37, Validation Accuracy : 0.64
Epoch : 198, Train Loss : 1.64, Train Accuracy : 0.45, Validation Loss : 1.34, Validation Accuracy : 0.64
Epoch : 199, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.36, Validation Accuracy : 0.64
Epoch : 200, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.34, Validation Accuracy : 0.62
Epoch : 201, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.35, Validation Accuracy : 0.64
Epoch : 202, Train Loss : 1.65, Train Accuracy : 0.45, Validation Loss : 1.35, Validation Accuracy : 0.64
Epoch : 203, Train Loss : 1.61, Train Accuracy : 0.46, Validation Loss : 1.33, Validation Accuracy : 0.64
Epoch : 204, Train Loss : 1.63, Train Accuracy : 0.45, Validation Loss : 1.34, Validation Accuracy : 0.64
Epoch : 205, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.34, Validation Accuracy : 0.65
Epoch : 206, Train Loss : 1.62, Train Accuracy : 0.46, Validation Loss : 1.32, Validation Accuracy : 0.63
Epoch : 207, Train Loss : 1.60, Train Accuracy : 0.47, Validation Loss : 1.33, Validation Accuracy : 0.64
Epoch : 208, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.37, Validation Accuracy : 0.63
Epoch : 209, Train Loss : 1.60, Train Accuracy : 0.46, Validation Loss : 1.31, Validation Accuracy : 0.65
Epoch : 210, Train Loss : 1.61, Train Accuracy : 0.46, Validation Loss : 1.32, Validation Accuracy : 0.65
Epoch : 211, Train Loss : 1.60, Train Accuracy : 0.47, Validation Loss : 1.31, Validation Accuracy : 0.65
Epoch : 212, Train Loss : 1.61, Train Accuracy : 0.46, Validation Loss : 1.31, Validation Accuracy : 0.64
Epoch : 213, Train Loss : 1.60, Train Accuracy : 0.47, Validation Loss : 1.33, Validation Accuracy : 0.64
Epoch : 214, Train Loss : 1.61, Train Accuracy : 0.46, Validation Loss : 1.32, Validation Accuracy : 0.65
Epoch : 215, Train Loss : 1.61, Train Accuracy : 0.46, Validation Loss : 1.31, Validation Accuracy : 0.65
Epoch : 216, Train Loss : 1.59, Train Accuracy : 0.48, Validation Loss : 1.31, Validation Accuracy : 0.65
Epoch : 217, Train Loss : 1.56, Train Accuracy : 0.48, Validation Loss : 1.30, Validation Accuracy : 0.64
Epoch : 218, Train Loss : 1.60, Train Accuracy : 0.47, Validation Loss : 1.30, Validation Accuracy : 0.65
Epoch : 219, Train Loss : 1.60, Train Accuracy : 0.47, Validation Loss : 1.32, Validation Accuracy : 0.65
Epoch : 220, Train Loss : 1.57, Train Accuracy : 0.48, Validation Loss : 1.29, Validation Accuracy : 0.66
Epoch : 221, Train Loss : 1.61, Train Accuracy : 0.46, Validation Loss : 1.34, Validation Accuracy : 0.63
Epoch : 222, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.29, Validation Accuracy : 0.65
Epoch : 223, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.30, Validation Accuracy : 0.66
Epoch : 224, Train Loss : 1.56, Train Accuracy : 0.49, Validation Loss : 1.28, Validation Accuracy : 0.64
Epoch : 225, Train Loss : 1.57, Train Accuracy : 0.48, Validation Loss : 1.28, Validation Accuracy : 0.66
Epoch : 226, Train Loss : 1.58, Train Accuracy : 0.48, Validation Loss : 1.29, Validation Accuracy : 0.66
Epoch : 227, Train Loss : 1.56, Train Accuracy : 0.48, Validation Loss : 1.27, Validation Accuracy : 0.65
Epoch : 228, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.29, Validation Accuracy : 0.66
Epoch : 229, Train Loss : 1.57, Train Accuracy : 0.48, Validation Loss : 1.29, Validation Accuracy : 0.66
Epoch : 230, Train Loss : 1.57, Train Accuracy : 0.48, Validation Loss : 1.28, Validation Accuracy : 0.66
Epoch : 231, Train Loss : 1.57, Train Accuracy : 0.48, Validation Loss : 1.27, Validation Accuracy : 0.66
Epoch : 232, Train Loss : 1.58, Train Accuracy : 0.48, Validation Loss : 1.29, Validation Accuracy : 0.66
Epoch : 233, Train Loss : 1.57, Train Accuracy : 0.48, Validation Loss : 1.27, Validation Accuracy : 0.65
Epoch : 234, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.27, Validation Accuracy : 0.66
Epoch : 235, Train Loss : 1.57, Train Accuracy : 0.48, Validation Loss : 1.28, Validation Accuracy : 0.66
Epoch : 236, Train Loss : 1.58, Train Accuracy : 0.48, Validation Loss : 1.31, Validation Accuracy : 0.64
Epoch : 237, Train Loss : 1.57, Train Accuracy : 0.47, Validation Loss : 1.26, Validation Accuracy : 0.66
Epoch : 238, Train Loss : 1.57, Train Accuracy : 0.48, Validation Loss : 1.27, Validation Accuracy : 0.65
Epoch : 239, Train Loss : 1.56, Train Accuracy : 0.48, Validation Loss : 1.26, Validation Accuracy : 0.66
Epoch : 240, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.26, Validation Accuracy : 0.65
Epoch : 241, Train Loss : 1.57, Train Accuracy : 0.47, Validation Loss : 1.28, Validation Accuracy : 0.66
Epoch : 242, Train Loss : 1.56, Train Accuracy : 0.48, Validation Loss : 1.25, Validation Accuracy : 0.67
Epoch : 243, Train Loss : 1.57, Train Accuracy : 0.48, Validation Loss : 1.27, Validation Accuracy : 0.66
Epoch : 244, Train Loss : 1.56, Train Accuracy : 0.49, Validation Loss : 1.27, Validation Accuracy : 0.66
Epoch : 245, Train Loss : 1.56, Train Accuracy : 0.48, Validation Loss : 1.26, Validation Accuracy : 0.66
Epoch : 246, Train Loss : 1.54, Train Accuracy : 0.49, Validation Loss : 1.24, Validation Accuracy : 0.67
Epoch : 247, Train Loss : 1.55, Train Accuracy : 0.48, Validation Loss : 1.26, Validation Accuracy : 0.66
Epoch : 248, Train Loss : 1.54, Train Accuracy : 0.48, Validation Loss : 1.25, Validation Accuracy : 0.66
Epoch : 249, Train Loss : 1.57, Train Accuracy : 0.48, Validation Loss : 1.28, Validation Accuracy : 0.66
Epoch : 250, Train Loss : 1.54, Train Accuracy : 0.49, Validation Loss : 1.22, Validation Accuracy : 0.67
Epoch : 251, Train Loss : 1.54, Train Accuracy : 0.49, Validation Loss : 1.24, Validation Accuracy : 0.67
Epoch : 252, Train Loss : 1.54, Train Accuracy : 0.49, Validation Loss : 1.26, Validation Accuracy : 0.65
Epoch : 253, Train Loss : 1.53, Train Accuracy : 0.49, Validation Loss : 1.24, Validation Accuracy : 0.66
Epoch : 254, Train Loss : 1.54, Train Accuracy : 0.48, Validation Loss : 1.24, Validation Accuracy : 0.67
Epoch : 255, Train Loss : 1.52, Train Accuracy : 0.50, Validation Loss : 1.23, Validation Accuracy : 0.67
Epoch : 256, Train Loss : 1.54, Train Accuracy : 0.49, Validation Loss : 1.22, Validation Accuracy : 0.67
Epoch : 257, Train Loss : 1.53, Train Accuracy : 0.50, Validation Loss : 1.23, Validation Accuracy : 0.67
Epoch : 258, Train Loss : 1.53, Train Accuracy : 0.49, Validation Loss : 1.26, Validation Accuracy : 0.66
Epoch : 259, Train Loss : 1.53, Train Accuracy : 0.49, Validation Loss : 1.22, Validation Accuracy : 0.67
Epoch : 260, Train Loss : 1.55, Train Accuracy : 0.48, Validation Loss : 1.23, Validation Accuracy : 0.67
Epoch : 261, Train Loss : 1.53, Train Accuracy : 0.49, Validation Loss : 1.21, Validation Accuracy : 0.67
Epoch : 262, Train Loss : 1.53, Train Accuracy : 0.49, Validation Loss : 1.25, Validation Accuracy : 0.67
Epoch : 263, Train Loss : 1.50, Train Accuracy : 0.50, Validation Loss : 1.25, Validation Accuracy : 0.67
Epoch : 264, Train Loss : 1.54, Train Accuracy : 0.49, Validation Loss : 1.24, Validation Accuracy : 0.68
Epoch : 265, Train Loss : 1.53, Train Accuracy : 0.49, Validation Loss : 1.22, Validation Accuracy : 0.67
Epoch : 266, Train Loss : 1.52, Train Accuracy : 0.50, Validation Loss : 1.22, Validation Accuracy : 0.68
Epoch : 267, Train Loss : 1.54, Train Accuracy : 0.49, Validation Loss : 1.22, Validation Accuracy : 0.68
Epoch : 268, Train Loss : 1.53, Train Accuracy : 0.49, Validation Loss : 1.22, Validation Accuracy : 0.67
Epoch : 269, Train Loss : 1.53, Train Accuracy : 0.49, Validation Loss : 1.20, Validation Accuracy : 0.68
Epoch : 270, Train Loss : 1.52, Train Accuracy : 0.49, Validation Loss : 1.21, Validation Accuracy : 0.68
Epoch : 271, Train Loss : 1.53, Train Accuracy : 0.50, Validation Loss : 1.21, Validation Accuracy : 0.67
Epoch : 272, Train Loss : 1.52, Train Accuracy : 0.50, Validation Loss : 1.21, Validation Accuracy : 0.67
Epoch : 273, Train Loss : 1.52, Train Accuracy : 0.49, Validation Loss : 1.21, Validation Accuracy : 0.67
Epoch : 274, Train Loss : 1.51, Train Accuracy : 0.50, Validation Loss : 1.20, Validation Accuracy : 0.68
Epoch : 275, Train Loss : 1.52, Train Accuracy : 0.49, Validation Loss : 1.19, Validation Accuracy : 0.68
Epoch : 276, Train Loss : 1.52, Train Accuracy : 0.49, Validation Loss : 1.20, Validation Accuracy : 0.68
Epoch : 277, Train Loss : 1.54, Train Accuracy : 0.48, Validation Loss : 1.21, Validation Accuracy : 0.68
Epoch : 278, Train Loss : 1.50, Train Accuracy : 0.50, Validation Loss : 1.21, Validation Accuracy : 0.68
Epoch : 279, Train Loss : 1.52, Train Accuracy : 0.49, Validation Loss : 1.20, Validation Accuracy : 0.67
Epoch : 280, Train Loss : 1.51, Train Accuracy : 0.49, Validation Loss : 1.20, Validation Accuracy : 0.68
Epoch : 281, Train Loss : 1.52, Train Accuracy : 0.49, Validation Loss : 1.22, Validation Accuracy : 0.67
Epoch : 282, Train Loss : 1.51, Train Accuracy : 0.49, Validation Loss : 1.19, Validation Accuracy : 0.69
Epoch : 283, Train Loss : 1.49, Train Accuracy : 0.50, Validation Loss : 1.20, Validation Accuracy : 0.69
Epoch : 284, Train Loss : 1.52, Train Accuracy : 0.49, Validation Loss : 1.18, Validation Accuracy : 0.69
Epoch : 285, Train Loss : 1.50, Train Accuracy : 0.50, Validation Loss : 1.20, Validation Accuracy : 0.69
Epoch : 286, Train Loss : 1.52, Train Accuracy : 0.49, Validation Loss : 1.19, Validation Accuracy : 0.68
Epoch : 287, Train Loss : 1.50, Train Accuracy : 0.50, Validation Loss : 1.20, Validation Accuracy : 0.68
Epoch : 288, Train Loss : 1.50, Train Accuracy : 0.51, Validation Loss : 1.21, Validation Accuracy : 0.68
Epoch : 289, Train Loss : 1.52, Train Accuracy : 0.49, Validation Loss : 1.18, Validation Accuracy : 0.68
Epoch : 290, Train Loss : 1.50, Train Accuracy : 0.49, Validation Loss : 1.18, Validation Accuracy : 0.68
Epoch : 291, Train Loss : 1.51, Train Accuracy : 0.50, Validation Loss : 1.17, Validation Accuracy : 0.68
Epoch : 292, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.18, Validation Accuracy : 0.68
Epoch : 293, Train Loss : 1.49, Train Accuracy : 0.50, Validation Loss : 1.20, Validation Accuracy : 0.68
Epoch : 294, Train Loss : 1.52, Train Accuracy : 0.49, Validation Loss : 1.18, Validation Accuracy : 0.69
Epoch : 295, Train Loss : 1.49, Train Accuracy : 0.50, Validation Loss : 1.18, Validation Accuracy : 0.69
Epoch : 296, Train Loss : 1.51, Train Accuracy : 0.49, Validation Loss : 1.25, Validation Accuracy : 0.67
Epoch : 297, Train Loss : 1.50, Train Accuracy : 0.50, Validation Loss : 1.19, Validation Accuracy : 0.68
Epoch : 298, Train Loss : 1.50, Train Accuracy : 0.50, Validation Loss : 1.22, Validation Accuracy : 0.68
Epoch : 299, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.18, Validation Accuracy : 0.69
Epoch : 300, Train Loss : 1.51, Train Accuracy : 0.50, Validation Loss : 1.16, Validation Accuracy : 0.68
Epoch : 301, Train Loss : 1.49, Train Accuracy : 0.51, Validation Loss : 1.19, Validation Accuracy : 0.68
Epoch : 302, Train Loss : 1.50, Train Accuracy : 0.50, Validation Loss : 1.17, Validation Accuracy : 0.69
Epoch : 303, Train Loss : 1.50, Train Accuracy : 0.50, Validation Loss : 1.17, Validation Accuracy : 0.70
Epoch : 304, Train Loss : 1.51, Train Accuracy : 0.49, Validation Loss : 1.16, Validation Accuracy : 0.69
Epoch : 305, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.17, Validation Accuracy : 0.68
Epoch : 306, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.15, Validation Accuracy : 0.68
Epoch : 307, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.16, Validation Accuracy : 0.69
Epoch : 308, Train Loss : 1.50, Train Accuracy : 0.50, Validation Loss : 1.16, Validation Accuracy : 0.69
Epoch : 309, Train Loss : 1.49, Train Accuracy : 0.50, Validation Loss : 1.17, Validation Accuracy : 0.69
Epoch : 310, Train Loss : 1.50, Train Accuracy : 0.50, Validation Loss : 1.18, Validation Accuracy : 0.69
Epoch : 311, Train Loss : 1.50, Train Accuracy : 0.50, Validation Loss : 1.17, Validation Accuracy : 0.68
Epoch : 312, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.15, Validation Accuracy : 0.70
Epoch : 313, Train Loss : 1.50, Train Accuracy : 0.50, Validation Loss : 1.15, Validation Accuracy : 0.69
Epoch : 314, Train Loss : 1.51, Train Accuracy : 0.49, Validation Loss : 1.19, Validation Accuracy : 0.69
Epoch : 315, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.16, Validation Accuracy : 0.69
Epoch : 316, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.15, Validation Accuracy : 0.70
Epoch : 317, Train Loss : 1.49, Train Accuracy : 0.50, Validation Loss : 1.17, Validation Accuracy : 0.70
Epoch : 318, Train Loss : 1.49, Train Accuracy : 0.50, Validation Loss : 1.14, Validation Accuracy : 0.69
Epoch : 319, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.16, Validation Accuracy : 0.69
Epoch : 320, Train Loss : 1.50, Train Accuracy : 0.50, Validation Loss : 1.17, Validation Accuracy : 0.70
Epoch : 321, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.17, Validation Accuracy : 0.69
Epoch : 322, Train Loss : 1.49, Train Accuracy : 0.50, Validation Loss : 1.15, Validation Accuracy : 0.70
Epoch : 323, Train Loss : 1.46, Train Accuracy : 0.51, Validation Loss : 1.14, Validation Accuracy : 0.70
Epoch : 324, Train Loss : 1.49, Train Accuracy : 0.50, Validation Loss : 1.15, Validation Accuracy : 0.69
Epoch : 325, Train Loss : 1.48, Train Accuracy : 0.50, Validation Loss : 1.16, Validation Accuracy : 0.69
Epoch : 326, Train Loss : 1.49, Train Accuracy : 0.51, Validation Loss : 1.17, Validation Accuracy : 0.69
Epoch : 327, Train Loss : 1.48, Train Accuracy : 0.51, Validation Loss : 1.15, Validation Accuracy : 0.70
Epoch : 328, Train Loss : 1.48, Train Accuracy : 0.50, Validation Loss : 1.19, Validation Accuracy : 0.68
Epoch : 329, Train Loss : 1.49, Train Accuracy : 0.50, Validation Loss : 1.16, Validation Accuracy : 0.70
Epoch : 330, Train Loss : 1.46, Train Accuracy : 0.51, Validation Loss : 1.15, Validation Accuracy : 0.69
Epoch : 331, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.15, Validation Accuracy : 0.69
Epoch : 332, Train Loss : 1.48, Train Accuracy : 0.50, Validation Loss : 1.16, Validation Accuracy : 0.69
Epoch : 333, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.12, Validation Accuracy : 0.70
Epoch : 334, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.13, Validation Accuracy : 0.70
Epoch : 335, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.16, Validation Accuracy : 0.70
Epoch : 336, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.17, Validation Accuracy : 0.70
Epoch : 337, Train Loss : 1.48, Train Accuracy : 0.50, Validation Loss : 1.16, Validation Accuracy : 0.69
Epoch : 338, Train Loss : 1.47, Train Accuracy : 0.51, Validation Loss : 1.14, Validation Accuracy : 0.70
Epoch : 339, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.12, Validation Accuracy : 0.70
Epoch : 340, Train Loss : 1.46, Train Accuracy : 0.51, Validation Loss : 1.16, Validation Accuracy : 0.69
Epoch : 341, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.18, Validation Accuracy : 0.70
Epoch : 342, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.12, Validation Accuracy : 0.70
Epoch : 343, Train Loss : 1.46, Train Accuracy : 0.51, Validation Loss : 1.14, Validation Accuracy : 0.70
Epoch : 344, Train Loss : 1.46, Train Accuracy : 0.52, Validation Loss : 1.14, Validation Accuracy : 0.71
Epoch : 345, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.13, Validation Accuracy : 0.71
Epoch : 346, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.11, Validation Accuracy : 0.70
Epoch : 347, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.12, Validation Accuracy : 0.71
Epoch : 348, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.13, Validation Accuracy : 0.70
Epoch : 349, Train Loss : 1.46, Train Accuracy : 0.51, Validation Loss : 1.11, Validation Accuracy : 0.70
Epoch : 350, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.12, Validation Accuracy : 0.71
Epoch : 351, Train Loss : 1.46, Train Accuracy : 0.51, Validation Loss : 1.12, Validation Accuracy : 0.71
Epoch : 352, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.12, Validation Accuracy : 0.69
Epoch : 353, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.13, Validation Accuracy : 0.69
Epoch : 354, Train Loss : 1.44, Train Accuracy : 0.51, Validation Loss : 1.10, Validation Accuracy : 0.70
Epoch : 355, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.11, Validation Accuracy : 0.71
Epoch : 356, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.12, Validation Accuracy : 0.70
Epoch : 357, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.13, Validation Accuracy : 0.71
Epoch : 358, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.11, Validation Accuracy : 0.71
Epoch : 359, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.11, Validation Accuracy : 0.70
Epoch : 360, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.11, Validation Accuracy : 0.70
Epoch : 361, Train Loss : 1.45, Train Accuracy : 0.51, Validation Loss : 1.10, Validation Accuracy : 0.70
Epoch : 362, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.11, Validation Accuracy : 0.71
Epoch : 363, Train Loss : 1.44, Train Accuracy : 0.51, Validation Loss : 1.14, Validation Accuracy : 0.68
Epoch : 364, Train Loss : 1.42, Train Accuracy : 0.53, Validation Loss : 1.09, Validation Accuracy : 0.71
Epoch : 365, Train Loss : 1.43, Train Accuracy : 0.53, Validation Loss : 1.09, Validation Accuracy : 0.70
Epoch : 366, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.15, Validation Accuracy : 0.71
Epoch : 367, Train Loss : 1.45, Train Accuracy : 0.52, Validation Loss : 1.12, Validation Accuracy : 0.70
Epoch : 368, Train Loss : 1.44, Train Accuracy : 0.51, Validation Loss : 1.10, Validation Accuracy : 0.71
Epoch : 369, Train Loss : 1.45, Train Accuracy : 0.51, Validation Loss : 1.10, Validation Accuracy : 0.71
Epoch : 370, Train Loss : 1.46, Train Accuracy : 0.51, Validation Loss : 1.10, Validation Accuracy : 0.71
Epoch : 371, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.11, Validation Accuracy : 0.70
Epoch : 372, Train Loss : 1.46, Train Accuracy : 0.51, Validation Loss : 1.10, Validation Accuracy : 0.70
Epoch : 373, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.09, Validation Accuracy : 0.70
Epoch : 374, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.12, Validation Accuracy : 0.71
Epoch : 375, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.08, Validation Accuracy : 0.71
Epoch : 376, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.11, Validation Accuracy : 0.69
Epoch : 377, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.08, Validation Accuracy : 0.70
Epoch : 378, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.10, Validation Accuracy : 0.71
Epoch : 379, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.08, Validation Accuracy : 0.72
Epoch : 380, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.09, Validation Accuracy : 0.72
Epoch : 381, Train Loss : 1.44, Train Accuracy : 0.51, Validation Loss : 1.07, Validation Accuracy : 0.71
Epoch : 382, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.08, Validation Accuracy : 0.71
Epoch : 383, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.09, Validation Accuracy : 0.71
Epoch : 384, Train Loss : 1.42, Train Accuracy : 0.53, Validation Loss : 1.09, Validation Accuracy : 0.71
Epoch : 385, Train Loss : 1.44, Train Accuracy : 0.52, Validation Loss : 1.10, Validation Accuracy : 0.71
Epoch : 386, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.09, Validation Accuracy : 0.71
Epoch : 387, Train Loss : 1.44, Train Accuracy : 0.51, Validation Loss : 1.08, Validation Accuracy : 0.70
Epoch : 388, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.08, Validation Accuracy : 0.71
Epoch : 389, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.07, Validation Accuracy : 0.72
Epoch : 390, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.08, Validation Accuracy : 0.70
Epoch : 391, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.08, Validation Accuracy : 0.72
Epoch : 392, Train Loss : 1.41, Train Accuracy : 0.52, Validation Loss : 1.09, Validation Accuracy : 0.70
Epoch : 393, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.08, Validation Accuracy : 0.71
Epoch : 394, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.09, Validation Accuracy : 0.71
Epoch : 395, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.08, Validation Accuracy : 0.71
Epoch : 396, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.08, Validation Accuracy : 0.71
Epoch : 397, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.07, Validation Accuracy : 0.71
Epoch : 398, Train Loss : 1.42, Train Accuracy : 0.53, Validation Loss : 1.07, Validation Accuracy : 0.71
Epoch : 399, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.08, Validation Accuracy : 0.72
Epoch : 400, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.05, Validation Accuracy : 0.71
Epoch : 401, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.07, Validation Accuracy : 0.72
Epoch : 402, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.08, Validation Accuracy : 0.71
Epoch : 403, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.07, Validation Accuracy : 0.71
Epoch : 404, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.08, Validation Accuracy : 0.72
Epoch : 405, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 1.06, Validation Accuracy : 0.71
Epoch : 406, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 407, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 408, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.08, Validation Accuracy : 0.72
Epoch : 409, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 410, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 411, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 1.06, Validation Accuracy : 0.71
Epoch : 412, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 413, Train Loss : 1.40, Train Accuracy : 0.52, Validation Loss : 1.09, Validation Accuracy : 0.71
Epoch : 414, Train Loss : 1.41, Train Accuracy : 0.52, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 415, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 416, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 417, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 418, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 419, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.05, Validation Accuracy : 0.71
Epoch : 420, Train Loss : 1.44, Train Accuracy : 0.51, Validation Loss : 1.07, Validation Accuracy : 0.72
Epoch : 421, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 422, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 423, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 424, Train Loss : 1.43, Train Accuracy : 0.52, Validation Loss : 1.07, Validation Accuracy : 0.71
Epoch : 425, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.04, Validation Accuracy : 0.72
Epoch : 426, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.09, Validation Accuracy : 0.72
Epoch : 427, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 428, Train Loss : 1.40, Train Accuracy : 0.54, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 429, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 430, Train Loss : 1.41, Train Accuracy : 0.52, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 431, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 432, Train Loss : 1.42, Train Accuracy : 0.52, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 433, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.06, Validation Accuracy : 0.72
Epoch : 434, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.08, Validation Accuracy : 0.72
Epoch : 435, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 1.07, Validation Accuracy : 0.71
Epoch : 436, Train Loss : 1.41, Train Accuracy : 0.52, Validation Loss : 1.05, Validation Accuracy : 0.72
Epoch : 437, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.04, Validation Accuracy : 0.72
Epoch : 438, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.07, Validation Accuracy : 0.71
Epoch : 439, Train Loss : 1.41, Train Accuracy : 0.52, Validation Loss : 1.04, Validation Accuracy : 0.72
Epoch : 440, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.03, Validation Accuracy : 0.72
Epoch : 441, Train Loss : 1.38, Train Accuracy : 0.53, Validation Loss : 1.05, Validation Accuracy : 0.73
Epoch : 442, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.04, Validation Accuracy : 0.72
Epoch : 443, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.08, Validation Accuracy : 0.71
Epoch : 444, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.06, Validation Accuracy : 0.71
Epoch : 445, Train Loss : 1.41, Train Accuracy : 0.53, Validation Loss : 1.09, Validation Accuracy : 0.71
Epoch : 446, Train Loss : 1.41, Train Accuracy : 0.52, Validation Loss : 1.05, Validation Accuracy : 0.73
Epoch : 447, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 1.03, Validation Accuracy : 0.72
Epoch : 448, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 449, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.07, Validation Accuracy : 0.72
Epoch : 450, Train Loss : 1.37, Train Accuracy : 0.55, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 451, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 1.01, Validation Accuracy : 0.72
Epoch : 452, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 1.02, Validation Accuracy : 0.72
Epoch : 453, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.04, Validation Accuracy : 0.72
Epoch : 454, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.03, Validation Accuracy : 0.72
Epoch : 455, Train Loss : 1.41, Train Accuracy : 0.52, Validation Loss : 1.04, Validation Accuracy : 0.72
Epoch : 456, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 1.03, Validation Accuracy : 0.73
Epoch : 457, Train Loss : 1.38, Train Accuracy : 0.53, Validation Loss : 1.03, Validation Accuracy : 0.72
Epoch : 458, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.03, Validation Accuracy : 0.71
Epoch : 459, Train Loss : 1.40, Train Accuracy : 0.52, Validation Loss : 1.09, Validation Accuracy : 0.72
Epoch : 460, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.09, Validation Accuracy : 0.71
Epoch : 461, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.04, Validation Accuracy : 0.72
Epoch : 462, Train Loss : 1.37, Train Accuracy : 0.55, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 463, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 1.00, Validation Accuracy : 0.72
Epoch : 464, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 1.02, Validation Accuracy : 0.72
Epoch : 465, Train Loss : 1.40, Train Accuracy : 0.53, Validation Loss : 1.04, Validation Accuracy : 0.73
Epoch : 466, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.02, Validation Accuracy : 0.73
Epoch : 467, Train Loss : 1.38, Train Accuracy : 0.53, Validation Loss : 1.08, Validation Accuracy : 0.72
Epoch : 468, Train Loss : 1.38, Train Accuracy : 0.53, Validation Loss : 1.03, Validation Accuracy : 0.73
Epoch : 469, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 1.04, Validation Accuracy : 0.73
Epoch : 470, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.01, Validation Accuracy : 0.72
Epoch : 471, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 1.03, Validation Accuracy : 0.73
Epoch : 472, Train Loss : 1.36, Train Accuracy : 0.55, Validation Loss : 1.04, Validation Accuracy : 0.72
Epoch : 473, Train Loss : 1.38, Train Accuracy : 0.53, Validation Loss : 1.03, Validation Accuracy : 0.73
Epoch : 474, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.01, Validation Accuracy : 0.74
Epoch : 475, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.01, Validation Accuracy : 0.74
Epoch : 476, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 1.00, Validation Accuracy : 0.74
Epoch : 477, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 1.00, Validation Accuracy : 0.74
Epoch : 478, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.08, Validation Accuracy : 0.72
Epoch : 479, Train Loss : 1.35, Train Accuracy : 0.54, Validation Loss : 0.99, Validation Accuracy : 0.73
Epoch : 480, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 1.00, Validation Accuracy : 0.73
Epoch : 481, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.00, Validation Accuracy : 0.73
Epoch : 482, Train Loss : 1.39, Train Accuracy : 0.53, Validation Loss : 1.04, Validation Accuracy : 0.73
Epoch : 483, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 1.03, Validation Accuracy : 0.72
Epoch : 484, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.02, Validation Accuracy : 0.73
Epoch : 485, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 486, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 1.00, Validation Accuracy : 0.73
Epoch : 487, Train Loss : 1.36, Train Accuracy : 0.55, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 488, Train Loss : 1.34, Train Accuracy : 0.55, Validation Loss : 0.98, Validation Accuracy : 0.74
Epoch : 489, Train Loss : 1.36, Train Accuracy : 0.54, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 490, Train Loss : 1.35, Train Accuracy : 0.54, Validation Loss : 1.01, Validation Accuracy : 0.73
Epoch : 491, Train Loss : 1.39, Train Accuracy : 0.54, Validation Loss : 1.06, Validation Accuracy : 0.73
Epoch : 492, Train Loss : 1.38, Train Accuracy : 0.53, Validation Loss : 1.06, Validation Accuracy : 0.73
Epoch : 493, Train Loss : 1.36, Train Accuracy : 0.55, Validation Loss : 1.01, Validation Accuracy : 0.74
Epoch : 494, Train Loss : 1.38, Train Accuracy : 0.53, Validation Loss : 1.04, Validation Accuracy : 0.73
Epoch : 495, Train Loss : 1.36, Train Accuracy : 0.54, Validation Loss : 0.99, Validation Accuracy : 0.73
Epoch : 496, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.04, Validation Accuracy : 0.71
Epoch : 497, Train Loss : 1.37, Train Accuracy : 0.54, Validation Loss : 1.02, Validation Accuracy : 0.74
Epoch : 498, Train Loss : 1.38, Train Accuracy : 0.54, Validation Loss : 1.02, Validation Accuracy : 0.74
Epoch : 499, Train Loss : 1.36, Train Accuracy : 0.54, Validation Loss : 1.07, Validation Accuracy : 0.70



















In [ ]:



    


fig, (ax1, ax2) = plt.subplots(1,2, figsize=(15,6))

fig.suptitle(f"model_nn_3_layers_simple : 500 Epochs, 0.001 SGD", fontsize=16)
ax1.plot(history5['train_acc'], label='train accuracy')
ax1.plot(history5['valid_acc'], label='valid accuracy')
ax1.legend()


ax2.plot(history5['train_loss'], label='train loss')
ax2.plot(history5['valid_loss'], label='valid loss')
ax2.legend()

fig.show()



    















    


























In [ ]:



    


model_3_layers = NNModel_3Layers(input_size, output_size)
history6 = fit(model_3_layers, train_dl, test_dl, 500, 0.001, optim=torch.optim.Adam)



    















    






Epoch : 0, Train Loss : 2.41, Train Accuracy : 0.11, Validation Loss : 2.29, Validation Accuracy : 0.12
Epoch : 1, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.29, Validation Accuracy : 0.12
Epoch : 2, Train Loss : 2.28, Train Accuracy : 0.12, Validation Loss : 2.27, Validation Accuracy : 0.13
Epoch : 3, Train Loss : 2.28, Train Accuracy : 0.13, Validation Loss : 2.25, Validation Accuracy : 0.14
Epoch : 4, Train Loss : 2.27, Train Accuracy : 0.13, Validation Loss : 2.27, Validation Accuracy : 0.13
Epoch : 5, Train Loss : 2.27, Train Accuracy : 0.13, Validation Loss : 2.24, Validation Accuracy : 0.15
Epoch : 6, Train Loss : 2.27, Train Accuracy : 0.13, Validation Loss : 2.25, Validation Accuracy : 0.14
Epoch : 7, Train Loss : 2.26, Train Accuracy : 0.14, Validation Loss : 2.23, Validation Accuracy : 0.16
Epoch : 8, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.16
Epoch : 9, Train Loss : 2.25, Train Accuracy : 0.14, Validation Loss : 2.23, Validation Accuracy : 0.16
Epoch : 10, Train Loss : 2.25, Train Accuracy : 0.14, Validation Loss : 2.23, Validation Accuracy : 0.15
Epoch : 11, Train Loss : 2.23, Train Accuracy : 0.15, Validation Loss : 2.22, Validation Accuracy : 0.16
Epoch : 12, Train Loss : 2.23, Train Accuracy : 0.15, Validation Loss : 2.21, Validation Accuracy : 0.16
Epoch : 13, Train Loss : 2.24, Train Accuracy : 0.15, Validation Loss : 2.21, Validation Accuracy : 0.16
Epoch : 14, Train Loss : 2.23, Train Accuracy : 0.15, Validation Loss : 2.21, Validation Accuracy : 0.17
Epoch : 15, Train Loss : 2.22, Train Accuracy : 0.16, Validation Loss : 2.20, Validation Accuracy : 0.17
Epoch : 16, Train Loss : 2.22, Train Accuracy : 0.15, Validation Loss : 2.20, Validation Accuracy : 0.17
Epoch : 17, Train Loss : 2.22, Train Accuracy : 0.16, Validation Loss : 2.20, Validation Accuracy : 0.17
Epoch : 18, Train Loss : 2.22, Train Accuracy : 0.16, Validation Loss : 2.20, Validation Accuracy : 0.18
Epoch : 19, Train Loss : 2.22, Train Accuracy : 0.16, Validation Loss : 2.20, Validation Accuracy : 0.17
Epoch : 20, Train Loss : 2.22, Train Accuracy : 0.16, Validation Loss : 2.17, Validation Accuracy : 0.20
Epoch : 21, Train Loss : 2.16, Train Accuracy : 0.19, Validation Loss : 2.07, Validation Accuracy : 0.24
Epoch : 22, Train Loss : 2.11, Train Accuracy : 0.21, Validation Loss : 2.05, Validation Accuracy : 0.25
Epoch : 23, Train Loss : 2.09, Train Accuracy : 0.22, Validation Loss : 2.03, Validation Accuracy : 0.26
Epoch : 24, Train Loss : 2.09, Train Accuracy : 0.22, Validation Loss : 2.01, Validation Accuracy : 0.26
Epoch : 25, Train Loss : 2.07, Train Accuracy : 0.23, Validation Loss : 1.98, Validation Accuracy : 0.28
Epoch : 26, Train Loss : 2.05, Train Accuracy : 0.23, Validation Loss : 1.96, Validation Accuracy : 0.28
Epoch : 27, Train Loss : 2.06, Train Accuracy : 0.23, Validation Loss : 1.99, Validation Accuracy : 0.28
Epoch : 28, Train Loss : 2.04, Train Accuracy : 0.24, Validation Loss : 1.95, Validation Accuracy : 0.28
Epoch : 29, Train Loss : 2.03, Train Accuracy : 0.24, Validation Loss : 1.94, Validation Accuracy : 0.28
Epoch : 30, Train Loss : 2.02, Train Accuracy : 0.24, Validation Loss : 1.94, Validation Accuracy : 0.29
Epoch : 31, Train Loss : 2.02, Train Accuracy : 0.24, Validation Loss : 1.93, Validation Accuracy : 0.29
Epoch : 32, Train Loss : 2.02, Train Accuracy : 0.25, Validation Loss : 1.94, Validation Accuracy : 0.29
Epoch : 33, Train Loss : 2.01, Train Accuracy : 0.25, Validation Loss : 1.93, Validation Accuracy : 0.29
Epoch : 34, Train Loss : 2.02, Train Accuracy : 0.25, Validation Loss : 1.92, Validation Accuracy : 0.29
Epoch : 35, Train Loss : 2.01, Train Accuracy : 0.25, Validation Loss : 1.92, Validation Accuracy : 0.29
Epoch : 36, Train Loss : 2.02, Train Accuracy : 0.25, Validation Loss : 1.93, Validation Accuracy : 0.30
Epoch : 37, Train Loss : 2.01, Train Accuracy : 0.25, Validation Loss : 1.92, Validation Accuracy : 0.29
Epoch : 38, Train Loss : 2.00, Train Accuracy : 0.25, Validation Loss : 1.94, Validation Accuracy : 0.29
Epoch : 39, Train Loss : 2.01, Train Accuracy : 0.25, Validation Loss : 1.93, Validation Accuracy : 0.30
Epoch : 40, Train Loss : 2.01, Train Accuracy : 0.25, Validation Loss : 1.91, Validation Accuracy : 0.30
Epoch : 41, Train Loss : 1.99, Train Accuracy : 0.25, Validation Loss : 1.91, Validation Accuracy : 0.30
Epoch : 42, Train Loss : 2.00, Train Accuracy : 0.25, Validation Loss : 1.91, Validation Accuracy : 0.30
Epoch : 43, Train Loss : 2.01, Train Accuracy : 0.25, Validation Loss : 1.91, Validation Accuracy : 0.29
Epoch : 44, Train Loss : 2.01, Train Accuracy : 0.25, Validation Loss : 1.91, Validation Accuracy : 0.30
Epoch : 45, Train Loss : 2.00, Train Accuracy : 0.25, Validation Loss : 1.92, Validation Accuracy : 0.29
Epoch : 46, Train Loss : 1.99, Train Accuracy : 0.26, Validation Loss : 1.90, Validation Accuracy : 0.30
Epoch : 47, Train Loss : 2.00, Train Accuracy : 0.25, Validation Loss : 1.91, Validation Accuracy : 0.30
Epoch : 48, Train Loss : 1.99, Train Accuracy : 0.26, Validation Loss : 1.91, Validation Accuracy : 0.30
Epoch : 49, Train Loss : 2.00, Train Accuracy : 0.25, Validation Loss : 1.90, Validation Accuracy : 0.30
Epoch : 50, Train Loss : 1.99, Train Accuracy : 0.26, Validation Loss : 1.90, Validation Accuracy : 0.30
Epoch : 51, Train Loss : 2.01, Train Accuracy : 0.25, Validation Loss : 1.91, Validation Accuracy : 0.30
Epoch : 52, Train Loss : 2.00, Train Accuracy : 0.25, Validation Loss : 1.90, Validation Accuracy : 0.30
Epoch : 53, Train Loss : 2.01, Train Accuracy : 0.25, Validation Loss : 1.90, Validation Accuracy : 0.30
Epoch : 54, Train Loss : 2.00, Train Accuracy : 0.25, Validation Loss : 1.91, Validation Accuracy : 0.30
Epoch : 55, Train Loss : 2.00, Train Accuracy : 0.25, Validation Loss : 1.91, Validation Accuracy : 0.30
Epoch : 56, Train Loss : 1.99, Train Accuracy : 0.26, Validation Loss : 1.91, Validation Accuracy : 0.30
Epoch : 57, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.91, Validation Accuracy : 0.30
Epoch : 58, Train Loss : 1.99, Train Accuracy : 0.25, Validation Loss : 1.90, Validation Accuracy : 0.30
Epoch : 59, Train Loss : 1.99, Train Accuracy : 0.26, Validation Loss : 1.90, Validation Accuracy : 0.30
Epoch : 60, Train Loss : 1.99, Train Accuracy : 0.25, Validation Loss : 1.90, Validation Accuracy : 0.30
Epoch : 61, Train Loss : 1.99, Train Accuracy : 0.26, Validation Loss : 1.90, Validation Accuracy : 0.30
Epoch : 62, Train Loss : 1.99, Train Accuracy : 0.26, Validation Loss : 1.89, Validation Accuracy : 0.31
Epoch : 63, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.91, Validation Accuracy : 0.31
Epoch : 64, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.90, Validation Accuracy : 0.30
Epoch : 65, Train Loss : 1.99, Train Accuracy : 0.25, Validation Loss : 1.91, Validation Accuracy : 0.31
Epoch : 66, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 67, Train Loss : 1.99, Train Accuracy : 0.25, Validation Loss : 1.89, Validation Accuracy : 0.30
Epoch : 68, Train Loss : 2.00, Train Accuracy : 0.25, Validation Loss : 1.91, Validation Accuracy : 0.30
Epoch : 69, Train Loss : 1.99, Train Accuracy : 0.25, Validation Loss : 1.89, Validation Accuracy : 0.31
Epoch : 70, Train Loss : 2.00, Train Accuracy : 0.25, Validation Loss : 1.90, Validation Accuracy : 0.30
Epoch : 71, Train Loss : 1.99, Train Accuracy : 0.25, Validation Loss : 1.89, Validation Accuracy : 0.31
Epoch : 72, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.89, Validation Accuracy : 0.31
Epoch : 73, Train Loss : 2.00, Train Accuracy : 0.25, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 74, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 75, Train Loss : 1.99, Train Accuracy : 0.25, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 76, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.89, Validation Accuracy : 0.31
Epoch : 77, Train Loss : 1.99, Train Accuracy : 0.26, Validation Loss : 1.89, Validation Accuracy : 0.31
Epoch : 78, Train Loss : 1.99, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 79, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 80, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 81, Train Loss : 1.96, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 82, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 83, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 84, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.89, Validation Accuracy : 0.31
Epoch : 85, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 86, Train Loss : 1.99, Train Accuracy : 0.26, Validation Loss : 1.89, Validation Accuracy : 0.30
Epoch : 87, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.89, Validation Accuracy : 0.31
Epoch : 88, Train Loss : 1.99, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 89, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 90, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 91, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 92, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 93, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 94, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 95, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 96, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 97, Train Loss : 1.96, Train Accuracy : 0.27, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 98, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 99, Train Loss : 1.98, Train Accuracy : 0.25, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 100, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.30
Epoch : 101, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 102, Train Loss : 1.99, Train Accuracy : 0.25, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 103, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 104, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 105, Train Loss : 1.99, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 106, Train Loss : 1.99, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 107, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 108, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 109, Train Loss : 1.99, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 110, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 111, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 112, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 113, Train Loss : 1.97, Train Accuracy : 0.27, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 114, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 115, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 116, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 117, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 118, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 119, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 120, Train Loss : 1.96, Train Accuracy : 0.27, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 121, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 122, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 123, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.31
Epoch : 124, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 125, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 126, Train Loss : 1.96, Train Accuracy : 0.27, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 127, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 128, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 129, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 130, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 131, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 132, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 133, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 134, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 135, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.31
Epoch : 136, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 137, Train Loss : 1.96, Train Accuracy : 0.27, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 138, Train Loss : 1.96, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 139, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.31
Epoch : 140, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 141, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 142, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 143, Train Loss : 1.99, Train Accuracy : 0.25, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 144, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 145, Train Loss : 1.96, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.32
Epoch : 146, Train Loss : 1.97, Train Accuracy : 0.27, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 147, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 148, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 149, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 150, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 151, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 152, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 153, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 154, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 155, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 156, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 157, Train Loss : 1.96, Train Accuracy : 0.27, Validation Loss : 1.86, Validation Accuracy : 0.31
Epoch : 158, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 159, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 160, Train Loss : 1.99, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 161, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 162, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 163, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 164, Train Loss : 1.96, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 165, Train Loss : 1.97, Train Accuracy : 0.27, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 166, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 167, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.31
Epoch : 168, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.89, Validation Accuracy : 0.31
Epoch : 169, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 170, Train Loss : 1.96, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 171, Train Loss : 1.99, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 172, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 173, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.31
Epoch : 174, Train Loss : 1.96, Train Accuracy : 0.27, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 175, Train Loss : 1.96, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 176, Train Loss : 1.95, Train Accuracy : 0.27, Validation Loss : 1.85, Validation Accuracy : 0.32
Epoch : 177, Train Loss : 1.96, Train Accuracy : 0.27, Validation Loss : 1.86, Validation Accuracy : 0.31
Epoch : 178, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 179, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.31
Epoch : 180, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 181, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 182, Train Loss : 1.96, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 183, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 184, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 185, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.31
Epoch : 186, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 187, Train Loss : 1.99, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 188, Train Loss : 1.96, Train Accuracy : 0.27, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 189, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 190, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 191, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 192, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 193, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 194, Train Loss : 1.96, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 195, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 196, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 197, Train Loss : 1.96, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 198, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 199, Train Loss : 1.96, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 200, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 201, Train Loss : 1.96, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 202, Train Loss : 1.95, Train Accuracy : 0.27, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 203, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 204, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.85, Validation Accuracy : 0.32
Epoch : 205, Train Loss : 1.96, Train Accuracy : 0.27, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 206, Train Loss : 1.97, Train Accuracy : 0.27, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 207, Train Loss : 1.96, Train Accuracy : 0.27, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 208, Train Loss : 1.96, Train Accuracy : 0.27, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 209, Train Loss : 1.96, Train Accuracy : 0.27, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 210, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 211, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.85, Validation Accuracy : 0.32
Epoch : 212, Train Loss : 1.97, Train Accuracy : 0.27, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 213, Train Loss : 1.96, Train Accuracy : 0.27, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 214, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 215, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.31
Epoch : 216, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 217, Train Loss : 1.95, Train Accuracy : 0.27, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 218, Train Loss : 1.96, Train Accuracy : 0.27, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 219, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 220, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 221, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 222, Train Loss : 1.96, Train Accuracy : 0.27, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 223, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 224, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 225, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 226, Train Loss : 1.96, Train Accuracy : 0.27, Validation Loss : 1.88, Validation Accuracy : 0.32
Epoch : 227, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 228, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 229, Train Loss : 1.96, Train Accuracy : 0.27, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 230, Train Loss : 1.99, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.31
Epoch : 231, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 232, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 233, Train Loss : 1.96, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 234, Train Loss : 1.96, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 235, Train Loss : 1.96, Train Accuracy : 0.27, Validation Loss : 1.85, Validation Accuracy : 0.32
Epoch : 236, Train Loss : 1.96, Train Accuracy : 0.26, Validation Loss : 1.85, Validation Accuracy : 0.32
Epoch : 237, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 238, Train Loss : 1.96, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 239, Train Loss : 1.96, Train Accuracy : 0.27, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 240, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 241, Train Loss : 1.96, Train Accuracy : 0.26, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 242, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 243, Train Loss : 1.96, Train Accuracy : 0.26, Validation Loss : 1.85, Validation Accuracy : 0.32
Epoch : 244, Train Loss : 1.96, Train Accuracy : 0.27, Validation Loss : 1.85, Validation Accuracy : 0.32
Epoch : 245, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.85, Validation Accuracy : 0.32
Epoch : 246, Train Loss : 1.95, Train Accuracy : 0.27, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 247, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 248, Train Loss : 1.98, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 249, Train Loss : 1.97, Train Accuracy : 0.26, Validation Loss : 1.86, Validation Accuracy : 0.32
Epoch : 250, Train Loss : 1.96, Train Accuracy : 0.27, Validation Loss : 1.87, Validation Accuracy : 0.32
Epoch : 251, Train Loss : 1.95, Train Accuracy : 0.27, Validation Loss : 1.84, Validation Accuracy : 0.33
Epoch : 252, Train Loss : 1.95, Train Accuracy : 0.27, Validation Loss : 1.83, Validation Accuracy : 0.33
Epoch : 253, Train Loss : 1.95, Train Accuracy : 0.27, Validation Loss : 1.81, Validation Accuracy : 0.33
Epoch : 254, Train Loss : 1.94, Train Accuracy : 0.28, Validation Loss : 1.78, Validation Accuracy : 0.35
Epoch : 255, Train Loss : 1.93, Train Accuracy : 0.29, Validation Loss : 1.78, Validation Accuracy : 0.36
Epoch : 256, Train Loss : 1.92, Train Accuracy : 0.28, Validation Loss : 1.77, Validation Accuracy : 0.36
Epoch : 257, Train Loss : 1.91, Train Accuracy : 0.29, Validation Loss : 1.76, Validation Accuracy : 0.37
Epoch : 258, Train Loss : 1.91, Train Accuracy : 0.29, Validation Loss : 1.74, Validation Accuracy : 0.37
Epoch : 259, Train Loss : 1.88, Train Accuracy : 0.31, Validation Loss : 1.75, Validation Accuracy : 0.38
Epoch : 260, Train Loss : 1.89, Train Accuracy : 0.30, Validation Loss : 1.73, Validation Accuracy : 0.38
Epoch : 261, Train Loss : 1.89, Train Accuracy : 0.30, Validation Loss : 1.71, Validation Accuracy : 0.38
Epoch : 262, Train Loss : 1.89, Train Accuracy : 0.30, Validation Loss : 1.72, Validation Accuracy : 0.37
Epoch : 263, Train Loss : 1.88, Train Accuracy : 0.31, Validation Loss : 1.74, Validation Accuracy : 0.38
Epoch : 264, Train Loss : 1.88, Train Accuracy : 0.30, Validation Loss : 1.72, Validation Accuracy : 0.38
Epoch : 265, Train Loss : 1.87, Train Accuracy : 0.31, Validation Loss : 1.71, Validation Accuracy : 0.38
Epoch : 266, Train Loss : 1.87, Train Accuracy : 0.31, Validation Loss : 1.71, Validation Accuracy : 0.39
Epoch : 267, Train Loss : 1.88, Train Accuracy : 0.30, Validation Loss : 1.71, Validation Accuracy : 0.39
Epoch : 268, Train Loss : 1.86, Train Accuracy : 0.31, Validation Loss : 1.71, Validation Accuracy : 0.38
Epoch : 269, Train Loss : 1.86, Train Accuracy : 0.31, Validation Loss : 1.70, Validation Accuracy : 0.39
Epoch : 270, Train Loss : 1.85, Train Accuracy : 0.31, Validation Loss : 1.70, Validation Accuracy : 0.39
Epoch : 271, Train Loss : 1.86, Train Accuracy : 0.31, Validation Loss : 1.70, Validation Accuracy : 0.39
Epoch : 272, Train Loss : 1.86, Train Accuracy : 0.32, Validation Loss : 1.69, Validation Accuracy : 0.39
Epoch : 273, Train Loss : 1.87, Train Accuracy : 0.31, Validation Loss : 1.70, Validation Accuracy : 0.39
Epoch : 274, Train Loss : 1.86, Train Accuracy : 0.31, Validation Loss : 1.69, Validation Accuracy : 0.39
Epoch : 275, Train Loss : 1.85, Train Accuracy : 0.32, Validation Loss : 1.68, Validation Accuracy : 0.40
Epoch : 276, Train Loss : 1.84, Train Accuracy : 0.32, Validation Loss : 1.69, Validation Accuracy : 0.39
Epoch : 277, Train Loss : 1.85, Train Accuracy : 0.32, Validation Loss : 1.70, Validation Accuracy : 0.39
Epoch : 278, Train Loss : 1.85, Train Accuracy : 0.32, Validation Loss : 1.70, Validation Accuracy : 0.40
Epoch : 279, Train Loss : 1.84, Train Accuracy : 0.32, Validation Loss : 1.69, Validation Accuracy : 0.40
Epoch : 280, Train Loss : 1.85, Train Accuracy : 0.32, Validation Loss : 1.69, Validation Accuracy : 0.40
Epoch : 281, Train Loss : 1.85, Train Accuracy : 0.32, Validation Loss : 1.69, Validation Accuracy : 0.40
Epoch : 282, Train Loss : 1.84, Train Accuracy : 0.32, Validation Loss : 1.69, Validation Accuracy : 0.40
Epoch : 283, Train Loss : 1.85, Train Accuracy : 0.32, Validation Loss : 1.69, Validation Accuracy : 0.39
Epoch : 284, Train Loss : 1.85, Train Accuracy : 0.32, Validation Loss : 1.68, Validation Accuracy : 0.40
Epoch : 285, Train Loss : 1.83, Train Accuracy : 0.33, Validation Loss : 1.68, Validation Accuracy : 0.40
Epoch : 286, Train Loss : 1.85, Train Accuracy : 0.32, Validation Loss : 1.68, Validation Accuracy : 0.39
Epoch : 287, Train Loss : 1.86, Train Accuracy : 0.32, Validation Loss : 1.69, Validation Accuracy : 0.40
Epoch : 288, Train Loss : 1.82, Train Accuracy : 0.33, Validation Loss : 1.68, Validation Accuracy : 0.40
Epoch : 289, Train Loss : 1.83, Train Accuracy : 0.33, Validation Loss : 1.67, Validation Accuracy : 0.40
Epoch : 290, Train Loss : 1.83, Train Accuracy : 0.33, Validation Loss : 1.67, Validation Accuracy : 0.41
Epoch : 291, Train Loss : 1.84, Train Accuracy : 0.32, Validation Loss : 1.68, Validation Accuracy : 0.40
Epoch : 292, Train Loss : 1.84, Train Accuracy : 0.32, Validation Loss : 1.67, Validation Accuracy : 0.41
Epoch : 293, Train Loss : 1.85, Train Accuracy : 0.31, Validation Loss : 1.67, Validation Accuracy : 0.41
Epoch : 294, Train Loss : 1.82, Train Accuracy : 0.33, Validation Loss : 1.66, Validation Accuracy : 0.41
Epoch : 295, Train Loss : 1.83, Train Accuracy : 0.32, Validation Loss : 1.66, Validation Accuracy : 0.41
Epoch : 296, Train Loss : 1.83, Train Accuracy : 0.32, Validation Loss : 1.67, Validation Accuracy : 0.40
Epoch : 297, Train Loss : 1.84, Train Accuracy : 0.32, Validation Loss : 1.66, Validation Accuracy : 0.41
Epoch : 298, Train Loss : 1.83, Train Accuracy : 0.33, Validation Loss : 1.65, Validation Accuracy : 0.41
Epoch : 299, Train Loss : 1.83, Train Accuracy : 0.32, Validation Loss : 1.66, Validation Accuracy : 0.41
Epoch : 300, Train Loss : 1.83, Train Accuracy : 0.32, Validation Loss : 1.66, Validation Accuracy : 0.41
Epoch : 301, Train Loss : 1.83, Train Accuracy : 0.32, Validation Loss : 1.66, Validation Accuracy : 0.41
Epoch : 302, Train Loss : 1.83, Train Accuracy : 0.32, Validation Loss : 1.67, Validation Accuracy : 0.41
Epoch : 303, Train Loss : 1.84, Train Accuracy : 0.32, Validation Loss : 1.66, Validation Accuracy : 0.41
Epoch : 304, Train Loss : 1.82, Train Accuracy : 0.33, Validation Loss : 1.68, Validation Accuracy : 0.41
Epoch : 305, Train Loss : 1.83, Train Accuracy : 0.33, Validation Loss : 1.66, Validation Accuracy : 0.41
Epoch : 306, Train Loss : 1.83, Train Accuracy : 0.33, Validation Loss : 1.65, Validation Accuracy : 0.41
Epoch : 307, Train Loss : 1.83, Train Accuracy : 0.33, Validation Loss : 1.65, Validation Accuracy : 0.41
Epoch : 308, Train Loss : 1.83, Train Accuracy : 0.32, Validation Loss : 1.67, Validation Accuracy : 0.41
Epoch : 309, Train Loss : 1.83, Train Accuracy : 0.32, Validation Loss : 1.66, Validation Accuracy : 0.41
Epoch : 310, Train Loss : 1.83, Train Accuracy : 0.32, Validation Loss : 1.66, Validation Accuracy : 0.41
Epoch : 311, Train Loss : 1.83, Train Accuracy : 0.33, Validation Loss : 1.65, Validation Accuracy : 0.41
Epoch : 312, Train Loss : 1.82, Train Accuracy : 0.33, Validation Loss : 1.66, Validation Accuracy : 0.41
Epoch : 313, Train Loss : 1.83, Train Accuracy : 0.33, Validation Loss : 1.65, Validation Accuracy : 0.41
Epoch : 314, Train Loss : 1.82, Train Accuracy : 0.33, Validation Loss : 1.65, Validation Accuracy : 0.41
Epoch : 315, Train Loss : 1.83, Train Accuracy : 0.33, Validation Loss : 1.65, Validation Accuracy : 0.41
Epoch : 316, Train Loss : 1.81, Train Accuracy : 0.33, Validation Loss : 1.65, Validation Accuracy : 0.42
Epoch : 317, Train Loss : 1.82, Train Accuracy : 0.33, Validation Loss : 1.65, Validation Accuracy : 0.42
Epoch : 318, Train Loss : 1.82, Train Accuracy : 0.33, Validation Loss : 1.65, Validation Accuracy : 0.41
Epoch : 319, Train Loss : 1.82, Train Accuracy : 0.33, Validation Loss : 1.65, Validation Accuracy : 0.41
Epoch : 320, Train Loss : 1.82, Train Accuracy : 0.33, Validation Loss : 1.65, Validation Accuracy : 0.41
Epoch : 321, Train Loss : 1.81, Train Accuracy : 0.33, Validation Loss : 1.65, Validation Accuracy : 0.41
Epoch : 322, Train Loss : 1.82, Train Accuracy : 0.33, Validation Loss : 1.65, Validation Accuracy : 0.42
Epoch : 323, Train Loss : 1.82, Train Accuracy : 0.33, Validation Loss : 1.65, Validation Accuracy : 0.42
Epoch : 324, Train Loss : 1.81, Train Accuracy : 0.33, Validation Loss : 1.66, Validation Accuracy : 0.41
Epoch : 325, Train Loss : 1.81, Train Accuracy : 0.33, Validation Loss : 1.66, Validation Accuracy : 0.41
Epoch : 326, Train Loss : 1.82, Train Accuracy : 0.33, Validation Loss : 1.65, Validation Accuracy : 0.42
Epoch : 327, Train Loss : 1.83, Train Accuracy : 0.33, Validation Loss : 1.65, Validation Accuracy : 0.42
Epoch : 328, Train Loss : 1.82, Train Accuracy : 0.33, Validation Loss : 1.66, Validation Accuracy : 0.41
Epoch : 329, Train Loss : 1.81, Train Accuracy : 0.34, Validation Loss : 1.64, Validation Accuracy : 0.42
Epoch : 330, Train Loss : 1.81, Train Accuracy : 0.33, Validation Loss : 1.64, Validation Accuracy : 0.42
Epoch : 331, Train Loss : 1.82, Train Accuracy : 0.33, Validation Loss : 1.64, Validation Accuracy : 0.42
Epoch : 332, Train Loss : 1.81, Train Accuracy : 0.33, Validation Loss : 1.63, Validation Accuracy : 0.42
Epoch : 333, Train Loss : 1.82, Train Accuracy : 0.33, Validation Loss : 1.63, Validation Accuracy : 0.42
Epoch : 334, Train Loss : 1.81, Train Accuracy : 0.33, Validation Loss : 1.62, Validation Accuracy : 0.42
Epoch : 335, Train Loss : 1.81, Train Accuracy : 0.33, Validation Loss : 1.63, Validation Accuracy : 0.42
Epoch : 336, Train Loss : 1.80, Train Accuracy : 0.34, Validation Loss : 1.64, Validation Accuracy : 0.42
Epoch : 337, Train Loss : 1.82, Train Accuracy : 0.33, Validation Loss : 1.63, Validation Accuracy : 0.42
Epoch : 338, Train Loss : 1.80, Train Accuracy : 0.34, Validation Loss : 1.63, Validation Accuracy : 0.42
Epoch : 339, Train Loss : 1.83, Train Accuracy : 0.33, Validation Loss : 1.64, Validation Accuracy : 0.42
Epoch : 340, Train Loss : 1.81, Train Accuracy : 0.33, Validation Loss : 1.64, Validation Accuracy : 0.42
Epoch : 341, Train Loss : 1.80, Train Accuracy : 0.34, Validation Loss : 1.63, Validation Accuracy : 0.42
Epoch : 342, Train Loss : 1.81, Train Accuracy : 0.34, Validation Loss : 1.62, Validation Accuracy : 0.42
Epoch : 343, Train Loss : 1.80, Train Accuracy : 0.34, Validation Loss : 1.62, Validation Accuracy : 0.42
Epoch : 344, Train Loss : 1.80, Train Accuracy : 0.34, Validation Loss : 1.62, Validation Accuracy : 0.42
Epoch : 345, Train Loss : 1.79, Train Accuracy : 0.34, Validation Loss : 1.62, Validation Accuracy : 0.43
Epoch : 346, Train Loss : 1.80, Train Accuracy : 0.34, Validation Loss : 1.63, Validation Accuracy : 0.42
Epoch : 347, Train Loss : 1.81, Train Accuracy : 0.34, Validation Loss : 1.63, Validation Accuracy : 0.42
Epoch : 348, Train Loss : 1.81, Train Accuracy : 0.33, Validation Loss : 1.63, Validation Accuracy : 0.42
Epoch : 349, Train Loss : 1.81, Train Accuracy : 0.33, Validation Loss : 1.62, Validation Accuracy : 0.43
Epoch : 350, Train Loss : 1.81, Train Accuracy : 0.34, Validation Loss : 1.63, Validation Accuracy : 0.43
Epoch : 351, Train Loss : 1.80, Train Accuracy : 0.34, Validation Loss : 1.63, Validation Accuracy : 0.43
Epoch : 352, Train Loss : 1.79, Train Accuracy : 0.34, Validation Loss : 1.60, Validation Accuracy : 0.44
Epoch : 353, Train Loss : 1.80, Train Accuracy : 0.35, Validation Loss : 1.59, Validation Accuracy : 0.45
Epoch : 354, Train Loss : 1.79, Train Accuracy : 0.35, Validation Loss : 1.56, Validation Accuracy : 0.46
Epoch : 355, Train Loss : 1.78, Train Accuracy : 0.35, Validation Loss : 1.58, Validation Accuracy : 0.46
Epoch : 356, Train Loss : 1.76, Train Accuracy : 0.36, Validation Loss : 1.54, Validation Accuracy : 0.46
Epoch : 357, Train Loss : 1.75, Train Accuracy : 0.36, Validation Loss : 1.54, Validation Accuracy : 0.46
Epoch : 358, Train Loss : 1.77, Train Accuracy : 0.36, Validation Loss : 1.55, Validation Accuracy : 0.47
Epoch : 359, Train Loss : 1.74, Train Accuracy : 0.37, Validation Loss : 1.54, Validation Accuracy : 0.48
Epoch : 360, Train Loss : 1.74, Train Accuracy : 0.37, Validation Loss : 1.53, Validation Accuracy : 0.48
Epoch : 361, Train Loss : 1.75, Train Accuracy : 0.37, Validation Loss : 1.52, Validation Accuracy : 0.48
Epoch : 362, Train Loss : 1.74, Train Accuracy : 0.37, Validation Loss : 1.53, Validation Accuracy : 0.47
Epoch : 363, Train Loss : 1.73, Train Accuracy : 0.38, Validation Loss : 1.52, Validation Accuracy : 0.47
Epoch : 364, Train Loss : 1.73, Train Accuracy : 0.37, Validation Loss : 1.51, Validation Accuracy : 0.48
Epoch : 365, Train Loss : 1.73, Train Accuracy : 0.38, Validation Loss : 1.53, Validation Accuracy : 0.47
Epoch : 366, Train Loss : 1.73, Train Accuracy : 0.37, Validation Loss : 1.52, Validation Accuracy : 0.48
Epoch : 367, Train Loss : 1.74, Train Accuracy : 0.37, Validation Loss : 1.51, Validation Accuracy : 0.48
Epoch : 368, Train Loss : 1.72, Train Accuracy : 0.38, Validation Loss : 1.49, Validation Accuracy : 0.48
Epoch : 369, Train Loss : 1.72, Train Accuracy : 0.38, Validation Loss : 1.49, Validation Accuracy : 0.48
Epoch : 370, Train Loss : 1.69, Train Accuracy : 0.38, Validation Loss : 1.45, Validation Accuracy : 0.48
Epoch : 371, Train Loss : 1.69, Train Accuracy : 0.38, Validation Loss : 1.44, Validation Accuracy : 0.48
Epoch : 372, Train Loss : 1.68, Train Accuracy : 0.38, Validation Loss : 1.43, Validation Accuracy : 0.49
Epoch : 373, Train Loss : 1.67, Train Accuracy : 0.38, Validation Loss : 1.40, Validation Accuracy : 0.49
Epoch : 374, Train Loss : 1.64, Train Accuracy : 0.39, Validation Loss : 1.42, Validation Accuracy : 0.49
Epoch : 375, Train Loss : 1.64, Train Accuracy : 0.38, Validation Loss : 1.40, Validation Accuracy : 0.49
Epoch : 376, Train Loss : 1.64, Train Accuracy : 0.38, Validation Loss : 1.38, Validation Accuracy : 0.50
Epoch : 377, Train Loss : 1.63, Train Accuracy : 0.38, Validation Loss : 1.36, Validation Accuracy : 0.50
Epoch : 378, Train Loss : 1.62, Train Accuracy : 0.39, Validation Loss : 1.36, Validation Accuracy : 0.50
Epoch : 379, Train Loss : 1.61, Train Accuracy : 0.39, Validation Loss : 1.34, Validation Accuracy : 0.50
Epoch : 380, Train Loss : 1.60, Train Accuracy : 0.39, Validation Loss : 1.34, Validation Accuracy : 0.51
Epoch : 381, Train Loss : 1.60, Train Accuracy : 0.39, Validation Loss : 1.32, Validation Accuracy : 0.50
Epoch : 382, Train Loss : 1.61, Train Accuracy : 0.38, Validation Loss : 1.33, Validation Accuracy : 0.50
Epoch : 383, Train Loss : 1.59, Train Accuracy : 0.39, Validation Loss : 1.32, Validation Accuracy : 0.51
Epoch : 384, Train Loss : 1.58, Train Accuracy : 0.39, Validation Loss : 1.30, Validation Accuracy : 0.51
Epoch : 385, Train Loss : 1.59, Train Accuracy : 0.39, Validation Loss : 1.31, Validation Accuracy : 0.51
Epoch : 386, Train Loss : 1.58, Train Accuracy : 0.39, Validation Loss : 1.31, Validation Accuracy : 0.50
Epoch : 387, Train Loss : 1.56, Train Accuracy : 0.39, Validation Loss : 1.30, Validation Accuracy : 0.51
Epoch : 388, Train Loss : 1.58, Train Accuracy : 0.39, Validation Loss : 1.29, Validation Accuracy : 0.51
Epoch : 389, Train Loss : 1.57, Train Accuracy : 0.40, Validation Loss : 1.31, Validation Accuracy : 0.50
Epoch : 390, Train Loss : 1.56, Train Accuracy : 0.39, Validation Loss : 1.30, Validation Accuracy : 0.51
Epoch : 391, Train Loss : 1.58, Train Accuracy : 0.39, Validation Loss : 1.30, Validation Accuracy : 0.50
Epoch : 392, Train Loss : 1.57, Train Accuracy : 0.39, Validation Loss : 1.28, Validation Accuracy : 0.51
Epoch : 393, Train Loss : 1.55, Train Accuracy : 0.40, Validation Loss : 1.29, Validation Accuracy : 0.50
Epoch : 394, Train Loss : 1.56, Train Accuracy : 0.40, Validation Loss : 1.28, Validation Accuracy : 0.51
Epoch : 395, Train Loss : 1.57, Train Accuracy : 0.39, Validation Loss : 1.29, Validation Accuracy : 0.51
Epoch : 396, Train Loss : 1.57, Train Accuracy : 0.39, Validation Loss : 1.30, Validation Accuracy : 0.51
Epoch : 397, Train Loss : 1.57, Train Accuracy : 0.39, Validation Loss : 1.29, Validation Accuracy : 0.50
Epoch : 398, Train Loss : 1.54, Train Accuracy : 0.41, Validation Loss : 1.29, Validation Accuracy : 0.52
Epoch : 399, Train Loss : 1.57, Train Accuracy : 0.40, Validation Loss : 1.27, Validation Accuracy : 0.52
Epoch : 400, Train Loss : 1.55, Train Accuracy : 0.41, Validation Loss : 1.27, Validation Accuracy : 0.53
Epoch : 401, Train Loss : 1.53, Train Accuracy : 0.41, Validation Loss : 1.28, Validation Accuracy : 0.51
Epoch : 402, Train Loss : 1.53, Train Accuracy : 0.42, Validation Loss : 1.26, Validation Accuracy : 0.53
Epoch : 403, Train Loss : 1.56, Train Accuracy : 0.41, Validation Loss : 1.23, Validation Accuracy : 0.55
Epoch : 404, Train Loss : 1.55, Train Accuracy : 0.41, Validation Loss : 1.22, Validation Accuracy : 0.55
Epoch : 405, Train Loss : 1.53, Train Accuracy : 0.42, Validation Loss : 1.18, Validation Accuracy : 0.57
Epoch : 406, Train Loss : 1.51, Train Accuracy : 0.43, Validation Loss : 1.21, Validation Accuracy : 0.55
Epoch : 407, Train Loss : 1.50, Train Accuracy : 0.43, Validation Loss : 1.17, Validation Accuracy : 0.57
Epoch : 408, Train Loss : 1.51, Train Accuracy : 0.43, Validation Loss : 1.18, Validation Accuracy : 0.57
Epoch : 409, Train Loss : 1.49, Train Accuracy : 0.44, Validation Loss : 1.19, Validation Accuracy : 0.57
Epoch : 410, Train Loss : 1.49, Train Accuracy : 0.43, Validation Loss : 1.16, Validation Accuracy : 0.58
Epoch : 411, Train Loss : 1.49, Train Accuracy : 0.44, Validation Loss : 1.17, Validation Accuracy : 0.58
Epoch : 412, Train Loss : 1.50, Train Accuracy : 0.44, Validation Loss : 1.17, Validation Accuracy : 0.58
Epoch : 413, Train Loss : 1.49, Train Accuracy : 0.44, Validation Loss : 1.15, Validation Accuracy : 0.58
Epoch : 414, Train Loss : 1.46, Train Accuracy : 0.45, Validation Loss : 1.14, Validation Accuracy : 0.59
Epoch : 415, Train Loss : 1.48, Train Accuracy : 0.44, Validation Loss : 1.17, Validation Accuracy : 0.58
Epoch : 416, Train Loss : 1.46, Train Accuracy : 0.45, Validation Loss : 1.14, Validation Accuracy : 0.59
Epoch : 417, Train Loss : 1.47, Train Accuracy : 0.44, Validation Loss : 1.13, Validation Accuracy : 0.59
Epoch : 418, Train Loss : 1.47, Train Accuracy : 0.45, Validation Loss : 1.15, Validation Accuracy : 0.59
Epoch : 419, Train Loss : 1.45, Train Accuracy : 0.45, Validation Loss : 1.16, Validation Accuracy : 0.59
Epoch : 420, Train Loss : 1.46, Train Accuracy : 0.45, Validation Loss : 1.14, Validation Accuracy : 0.59
Epoch : 421, Train Loss : 1.47, Train Accuracy : 0.44, Validation Loss : 1.13, Validation Accuracy : 0.59
Epoch : 422, Train Loss : 1.46, Train Accuracy : 0.45, Validation Loss : 1.13, Validation Accuracy : 0.59
Epoch : 423, Train Loss : 1.46, Train Accuracy : 0.45, Validation Loss : 1.12, Validation Accuracy : 0.60
Epoch : 424, Train Loss : 1.44, Train Accuracy : 0.46, Validation Loss : 1.14, Validation Accuracy : 0.59
Epoch : 425, Train Loss : 1.47, Train Accuracy : 0.45, Validation Loss : 1.12, Validation Accuracy : 0.60
Epoch : 426, Train Loss : 1.46, Train Accuracy : 0.45, Validation Loss : 1.12, Validation Accuracy : 0.60
Epoch : 427, Train Loss : 1.45, Train Accuracy : 0.46, Validation Loss : 1.15, Validation Accuracy : 0.59
Epoch : 428, Train Loss : 1.44, Train Accuracy : 0.46, Validation Loss : 1.13, Validation Accuracy : 0.60
Epoch : 429, Train Loss : 1.44, Train Accuracy : 0.46, Validation Loss : 1.12, Validation Accuracy : 0.60
Epoch : 430, Train Loss : 1.45, Train Accuracy : 0.45, Validation Loss : 1.12, Validation Accuracy : 0.60
Epoch : 431, Train Loss : 1.46, Train Accuracy : 0.45, Validation Loss : 1.13, Validation Accuracy : 0.60
Epoch : 432, Train Loss : 1.46, Train Accuracy : 0.45, Validation Loss : 1.14, Validation Accuracy : 0.60
Epoch : 433, Train Loss : 1.44, Train Accuracy : 0.45, Validation Loss : 1.13, Validation Accuracy : 0.59
Epoch : 434, Train Loss : 1.44, Train Accuracy : 0.46, Validation Loss : 1.12, Validation Accuracy : 0.59
Epoch : 435, Train Loss : 1.46, Train Accuracy : 0.45, Validation Loss : 1.13, Validation Accuracy : 0.59
Epoch : 436, Train Loss : 1.42, Train Accuracy : 0.46, Validation Loss : 1.11, Validation Accuracy : 0.60
Epoch : 437, Train Loss : 1.44, Train Accuracy : 0.45, Validation Loss : 1.11, Validation Accuracy : 0.60
Epoch : 438, Train Loss : 1.44, Train Accuracy : 0.45, Validation Loss : 1.12, Validation Accuracy : 0.60
Epoch : 439, Train Loss : 1.44, Train Accuracy : 0.45, Validation Loss : 1.13, Validation Accuracy : 0.59
Epoch : 440, Train Loss : 1.47, Train Accuracy : 0.45, Validation Loss : 1.11, Validation Accuracy : 0.60
Epoch : 441, Train Loss : 1.41, Train Accuracy : 0.46, Validation Loss : 1.11, Validation Accuracy : 0.60
Epoch : 442, Train Loss : 1.42, Train Accuracy : 0.46, Validation Loss : 1.10, Validation Accuracy : 0.60
Epoch : 443, Train Loss : 1.42, Train Accuracy : 0.46, Validation Loss : 1.12, Validation Accuracy : 0.60
Epoch : 444, Train Loss : 1.43, Train Accuracy : 0.46, Validation Loss : 1.11, Validation Accuracy : 0.60
Epoch : 445, Train Loss : 1.43, Train Accuracy : 0.45, Validation Loss : 1.09, Validation Accuracy : 0.60
Epoch : 446, Train Loss : 1.43, Train Accuracy : 0.46, Validation Loss : 1.11, Validation Accuracy : 0.60
Epoch : 447, Train Loss : 1.41, Train Accuracy : 0.47, Validation Loss : 1.10, Validation Accuracy : 0.60
Epoch : 448, Train Loss : 1.42, Train Accuracy : 0.46, Validation Loss : 1.11, Validation Accuracy : 0.60
Epoch : 449, Train Loss : 1.43, Train Accuracy : 0.46, Validation Loss : 1.09, Validation Accuracy : 0.60
Epoch : 450, Train Loss : 1.41, Train Accuracy : 0.47, Validation Loss : 1.09, Validation Accuracy : 0.60
Epoch : 451, Train Loss : 1.42, Train Accuracy : 0.46, Validation Loss : 1.10, Validation Accuracy : 0.60
Epoch : 452, Train Loss : 1.42, Train Accuracy : 0.47, Validation Loss : 1.08, Validation Accuracy : 0.60
Epoch : 453, Train Loss : 1.40, Train Accuracy : 0.47, Validation Loss : 1.09, Validation Accuracy : 0.60
Epoch : 454, Train Loss : 1.42, Train Accuracy : 0.46, Validation Loss : 1.10, Validation Accuracy : 0.60
Epoch : 455, Train Loss : 1.43, Train Accuracy : 0.46, Validation Loss : 1.08, Validation Accuracy : 0.61
Epoch : 456, Train Loss : 1.42, Train Accuracy : 0.46, Validation Loss : 1.07, Validation Accuracy : 0.60
Epoch : 457, Train Loss : 1.42, Train Accuracy : 0.46, Validation Loss : 1.10, Validation Accuracy : 0.60
Epoch : 458, Train Loss : 1.44, Train Accuracy : 0.45, Validation Loss : 1.08, Validation Accuracy : 0.61
Epoch : 459, Train Loss : 1.42, Train Accuracy : 0.47, Validation Loss : 1.10, Validation Accuracy : 0.60
Epoch : 460, Train Loss : 1.41, Train Accuracy : 0.47, Validation Loss : 1.11, Validation Accuracy : 0.60
Epoch : 461, Train Loss : 1.41, Train Accuracy : 0.47, Validation Loss : 1.10, Validation Accuracy : 0.60
Epoch : 462, Train Loss : 1.41, Train Accuracy : 0.46, Validation Loss : 1.09, Validation Accuracy : 0.60
Epoch : 463, Train Loss : 1.41, Train Accuracy : 0.47, Validation Loss : 1.09, Validation Accuracy : 0.61
Epoch : 464, Train Loss : 1.42, Train Accuracy : 0.46, Validation Loss : 1.09, Validation Accuracy : 0.60
Epoch : 465, Train Loss : 1.42, Train Accuracy : 0.47, Validation Loss : 1.09, Validation Accuracy : 0.61
Epoch : 466, Train Loss : 1.40, Train Accuracy : 0.47, Validation Loss : 1.07, Validation Accuracy : 0.61
Epoch : 467, Train Loss : 1.42, Train Accuracy : 0.46, Validation Loss : 1.08, Validation Accuracy : 0.61
Epoch : 468, Train Loss : 1.41, Train Accuracy : 0.46, Validation Loss : 1.07, Validation Accuracy : 0.61
Epoch : 469, Train Loss : 1.42, Train Accuracy : 0.46, Validation Loss : 1.06, Validation Accuracy : 0.60
Epoch : 470, Train Loss : 1.40, Train Accuracy : 0.46, Validation Loss : 1.08, Validation Accuracy : 0.61
Epoch : 471, Train Loss : 1.39, Train Accuracy : 0.47, Validation Loss : 1.08, Validation Accuracy : 0.61
Epoch : 472, Train Loss : 1.39, Train Accuracy : 0.47, Validation Loss : 1.08, Validation Accuracy : 0.61
Epoch : 473, Train Loss : 1.38, Train Accuracy : 0.48, Validation Loss : 1.08, Validation Accuracy : 0.61
Epoch : 474, Train Loss : 1.39, Train Accuracy : 0.47, Validation Loss : 1.07, Validation Accuracy : 0.61
Epoch : 475, Train Loss : 1.41, Train Accuracy : 0.47, Validation Loss : 1.07, Validation Accuracy : 0.61
Epoch : 476, Train Loss : 1.40, Train Accuracy : 0.46, Validation Loss : 1.07, Validation Accuracy : 0.60
Epoch : 477, Train Loss : 1.40, Train Accuracy : 0.47, Validation Loss : 1.07, Validation Accuracy : 0.61
Epoch : 478, Train Loss : 1.39, Train Accuracy : 0.48, Validation Loss : 1.07, Validation Accuracy : 0.61
Epoch : 479, Train Loss : 1.39, Train Accuracy : 0.47, Validation Loss : 1.09, Validation Accuracy : 0.60
Epoch : 480, Train Loss : 1.41, Train Accuracy : 0.47, Validation Loss : 1.08, Validation Accuracy : 0.60
Epoch : 481, Train Loss : 1.41, Train Accuracy : 0.46, Validation Loss : 1.07, Validation Accuracy : 0.61
Epoch : 482, Train Loss : 1.40, Train Accuracy : 0.47, Validation Loss : 1.07, Validation Accuracy : 0.61
Epoch : 483, Train Loss : 1.39, Train Accuracy : 0.47, Validation Loss : 1.08, Validation Accuracy : 0.60
Epoch : 484, Train Loss : 1.38, Train Accuracy : 0.47, Validation Loss : 1.06, Validation Accuracy : 0.61
Epoch : 485, Train Loss : 1.37, Train Accuracy : 0.47, Validation Loss : 1.07, Validation Accuracy : 0.60
Epoch : 486, Train Loss : 1.41, Train Accuracy : 0.47, Validation Loss : 1.07, Validation Accuracy : 0.61
Epoch : 487, Train Loss : 1.39, Train Accuracy : 0.47, Validation Loss : 1.08, Validation Accuracy : 0.61
Epoch : 488, Train Loss : 1.41, Train Accuracy : 0.47, Validation Loss : 1.06, Validation Accuracy : 0.61
Epoch : 489, Train Loss : 1.39, Train Accuracy : 0.47, Validation Loss : 1.07, Validation Accuracy : 0.61
Epoch : 490, Train Loss : 1.40, Train Accuracy : 0.47, Validation Loss : 1.06, Validation Accuracy : 0.61
Epoch : 491, Train Loss : 1.39, Train Accuracy : 0.47, Validation Loss : 1.07, Validation Accuracy : 0.61
Epoch : 492, Train Loss : 1.40, Train Accuracy : 0.47, Validation Loss : 1.07, Validation Accuracy : 0.61
Epoch : 493, Train Loss : 1.38, Train Accuracy : 0.47, Validation Loss : 1.05, Validation Accuracy : 0.61
Epoch : 494, Train Loss : 1.38, Train Accuracy : 0.47, Validation Loss : 1.07, Validation Accuracy : 0.62
Epoch : 495, Train Loss : 1.37, Train Accuracy : 0.48, Validation Loss : 1.06, Validation Accuracy : 0.61
Epoch : 496, Train Loss : 1.40, Train Accuracy : 0.47, Validation Loss : 1.06, Validation Accuracy : 0.61
Epoch : 497, Train Loss : 1.36, Train Accuracy : 0.48, Validation Loss : 1.07, Validation Accuracy : 0.62
Epoch : 498, Train Loss : 1.37, Train Accuracy : 0.48, Validation Loss : 1.07, Validation Accuracy : 0.61
Epoch : 499, Train Loss : 1.39, Train Accuracy : 0.47, Validation Loss : 1.07, Validation Accuracy : 0.61



















In [ ]:



    


fig, (ax1, ax2) = plt.subplots(1,2, figsize=(15,6))

fig.suptitle(f"model_nn_3_layers_simple : 500 Epochs, 0.001 Adam", fontsize=16)
ax1.plot(history6['train_acc'], label='train accuracy')
ax1.plot(history6['valid_acc'], label='valid accuracy')
ax1.legend()


ax2.plot(history6['train_loss'], label='train loss')
ax2.plot(history6['valid_loss'], label='valid loss')
ax2.legend()

fig.show()



    















    


























In [ ]:



    


model_3_layers = NNModel_3Layers(input_size, output_size)
history7 = fit(model_3_layers, train_dl, test_dl, 500, 3e-4, optim=torch.optim.Adam)



    















    






Epoch : 0, Train Loss : 2.54, Train Accuracy : 0.11, Validation Loss : 2.28, Validation Accuracy : 0.14
Epoch : 1, Train Loss : 2.28, Train Accuracy : 0.13, Validation Loss : 2.26, Validation Accuracy : 0.14
Epoch : 2, Train Loss : 2.27, Train Accuracy : 0.13, Validation Loss : 2.26, Validation Accuracy : 0.14
Epoch : 3, Train Loss : 2.27, Train Accuracy : 0.14, Validation Loss : 2.25, Validation Accuracy : 0.14
Epoch : 4, Train Loss : 2.27, Train Accuracy : 0.14, Validation Loss : 2.25, Validation Accuracy : 0.15
Epoch : 5, Train Loss : 2.26, Train Accuracy : 0.14, Validation Loss : 2.25, Validation Accuracy : 0.15
Epoch : 6, Train Loss : 2.25, Train Accuracy : 0.14, Validation Loss : 2.24, Validation Accuracy : 0.15
Epoch : 7, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.16
Epoch : 8, Train Loss : 2.26, Train Accuracy : 0.15, Validation Loss : 2.23, Validation Accuracy : 0.16
Epoch : 9, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.21, Validation Accuracy : 0.17
Epoch : 10, Train Loss : 2.22, Train Accuracy : 0.17, Validation Loss : 2.15, Validation Accuracy : 0.22
Epoch : 11, Train Loss : 2.21, Train Accuracy : 0.18, Validation Loss : 2.16, Validation Accuracy : 0.20
Epoch : 12, Train Loss : 2.17, Train Accuracy : 0.20, Validation Loss : 2.10, Validation Accuracy : 0.23
Epoch : 13, Train Loss : 2.17, Train Accuracy : 0.20, Validation Loss : 2.11, Validation Accuracy : 0.23
Epoch : 14, Train Loss : 2.15, Train Accuracy : 0.20, Validation Loss : 2.08, Validation Accuracy : 0.23
Epoch : 15, Train Loss : 2.14, Train Accuracy : 0.20, Validation Loss : 2.08, Validation Accuracy : 0.24
Epoch : 16, Train Loss : 2.12, Train Accuracy : 0.21, Validation Loss : 2.07, Validation Accuracy : 0.24
Epoch : 17, Train Loss : 2.12, Train Accuracy : 0.21, Validation Loss : 2.06, Validation Accuracy : 0.24
Epoch : 18, Train Loss : 2.11, Train Accuracy : 0.22, Validation Loss : 2.06, Validation Accuracy : 0.24
Epoch : 19, Train Loss : 2.10, Train Accuracy : 0.22, Validation Loss : 2.04, Validation Accuracy : 0.24
Epoch : 20, Train Loss : 2.11, Train Accuracy : 0.22, Validation Loss : 2.06, Validation Accuracy : 0.26
Epoch : 21, Train Loss : 2.10, Train Accuracy : 0.22, Validation Loss : 2.04, Validation Accuracy : 0.26
Epoch : 22, Train Loss : 2.09, Train Accuracy : 0.22, Validation Loss : 2.04, Validation Accuracy : 0.26
Epoch : 23, Train Loss : 2.08, Train Accuracy : 0.23, Validation Loss : 2.03, Validation Accuracy : 0.27
Epoch : 24, Train Loss : 2.07, Train Accuracy : 0.24, Validation Loss : 1.99, Validation Accuracy : 0.29
Epoch : 25, Train Loss : 2.04, Train Accuracy : 0.25, Validation Loss : 1.97, Validation Accuracy : 0.29
Epoch : 26, Train Loss : 2.03, Train Accuracy : 0.25, Validation Loss : 1.94, Validation Accuracy : 0.30
Epoch : 27, Train Loss : 2.01, Train Accuracy : 0.26, Validation Loss : 1.94, Validation Accuracy : 0.30
Epoch : 28, Train Loss : 2.01, Train Accuracy : 0.26, Validation Loss : 1.92, Validation Accuracy : 0.31
Epoch : 29, Train Loss : 2.00, Train Accuracy : 0.26, Validation Loss : 1.92, Validation Accuracy : 0.31
Epoch : 30, Train Loss : 2.01, Train Accuracy : 0.26, Validation Loss : 1.91, Validation Accuracy : 0.31
Epoch : 31, Train Loss : 2.01, Train Accuracy : 0.26, Validation Loss : 1.91, Validation Accuracy : 0.31
Epoch : 32, Train Loss : 2.00, Train Accuracy : 0.26, Validation Loss : 1.92, Validation Accuracy : 0.31
Epoch : 33, Train Loss : 1.99, Train Accuracy : 0.26, Validation Loss : 1.90, Validation Accuracy : 0.32
Epoch : 34, Train Loss : 2.00, Train Accuracy : 0.26, Validation Loss : 1.90, Validation Accuracy : 0.32
Epoch : 35, Train Loss : 1.99, Train Accuracy : 0.26, Validation Loss : 1.90, Validation Accuracy : 0.32
Epoch : 36, Train Loss : 1.99, Train Accuracy : 0.26, Validation Loss : 1.88, Validation Accuracy : 0.32
Epoch : 37, Train Loss : 1.97, Train Accuracy : 0.27, Validation Loss : 1.89, Validation Accuracy : 0.32
Epoch : 38, Train Loss : 1.96, Train Accuracy : 0.27, Validation Loss : 1.83, Validation Accuracy : 0.33
Epoch : 39, Train Loss : 1.95, Train Accuracy : 0.27, Validation Loss : 1.83, Validation Accuracy : 0.33
Epoch : 40, Train Loss : 1.96, Train Accuracy : 0.26, Validation Loss : 1.83, Validation Accuracy : 0.32
Epoch : 41, Train Loss : 1.94, Train Accuracy : 0.27, Validation Loss : 1.82, Validation Accuracy : 0.33
Epoch : 42, Train Loss : 1.93, Train Accuracy : 0.27, Validation Loss : 1.80, Validation Accuracy : 0.33
Epoch : 43, Train Loss : 1.92, Train Accuracy : 0.27, Validation Loss : 1.81, Validation Accuracy : 0.33
Epoch : 44, Train Loss : 1.91, Train Accuracy : 0.27, Validation Loss : 1.79, Validation Accuracy : 0.33
Epoch : 45, Train Loss : 1.92, Train Accuracy : 0.27, Validation Loss : 1.78, Validation Accuracy : 0.33
Epoch : 46, Train Loss : 1.91, Train Accuracy : 0.27, Validation Loss : 1.77, Validation Accuracy : 0.33
Epoch : 47, Train Loss : 1.89, Train Accuracy : 0.28, Validation Loss : 1.76, Validation Accuracy : 0.34
Epoch : 48, Train Loss : 1.90, Train Accuracy : 0.27, Validation Loss : 1.76, Validation Accuracy : 0.34
Epoch : 49, Train Loss : 1.88, Train Accuracy : 0.28, Validation Loss : 1.75, Validation Accuracy : 0.35
Epoch : 50, Train Loss : 1.86, Train Accuracy : 0.29, Validation Loss : 1.71, Validation Accuracy : 0.37
Epoch : 51, Train Loss : 1.86, Train Accuracy : 0.30, Validation Loss : 1.69, Validation Accuracy : 0.38
Epoch : 52, Train Loss : 1.84, Train Accuracy : 0.30, Validation Loss : 1.65, Validation Accuracy : 0.40
Epoch : 53, Train Loss : 1.85, Train Accuracy : 0.30, Validation Loss : 1.67, Validation Accuracy : 0.39
Epoch : 54, Train Loss : 1.82, Train Accuracy : 0.31, Validation Loss : 1.63, Validation Accuracy : 0.41
Epoch : 55, Train Loss : 1.82, Train Accuracy : 0.31, Validation Loss : 1.64, Validation Accuracy : 0.41
Epoch : 56, Train Loss : 1.80, Train Accuracy : 0.32, Validation Loss : 1.62, Validation Accuracy : 0.41
Epoch : 57, Train Loss : 1.83, Train Accuracy : 0.31, Validation Loss : 1.64, Validation Accuracy : 0.41
Epoch : 58, Train Loss : 1.79, Train Accuracy : 0.32, Validation Loss : 1.62, Validation Accuracy : 0.41
Epoch : 59, Train Loss : 1.80, Train Accuracy : 0.32, Validation Loss : 1.61, Validation Accuracy : 0.41
Epoch : 60, Train Loss : 1.78, Train Accuracy : 0.33, Validation Loss : 1.60, Validation Accuracy : 0.41
Epoch : 61, Train Loss : 1.79, Train Accuracy : 0.32, Validation Loss : 1.60, Validation Accuracy : 0.41
Epoch : 62, Train Loss : 1.80, Train Accuracy : 0.32, Validation Loss : 1.61, Validation Accuracy : 0.42
Epoch : 63, Train Loss : 1.78, Train Accuracy : 0.33, Validation Loss : 1.57, Validation Accuracy : 0.45
Epoch : 64, Train Loss : 1.76, Train Accuracy : 0.35, Validation Loss : 1.54, Validation Accuracy : 0.48
Epoch : 65, Train Loss : 1.74, Train Accuracy : 0.36, Validation Loss : 1.51, Validation Accuracy : 0.47
Epoch : 66, Train Loss : 1.72, Train Accuracy : 0.37, Validation Loss : 1.50, Validation Accuracy : 0.48
Epoch : 67, Train Loss : 1.71, Train Accuracy : 0.38, Validation Loss : 1.50, Validation Accuracy : 0.49
Epoch : 68, Train Loss : 1.70, Train Accuracy : 0.37, Validation Loss : 1.49, Validation Accuracy : 0.49
Epoch : 69, Train Loss : 1.70, Train Accuracy : 0.38, Validation Loss : 1.48, Validation Accuracy : 0.49
Epoch : 70, Train Loss : 1.69, Train Accuracy : 0.38, Validation Loss : 1.48, Validation Accuracy : 0.50
Epoch : 71, Train Loss : 1.69, Train Accuracy : 0.38, Validation Loss : 1.47, Validation Accuracy : 0.49
Epoch : 72, Train Loss : 1.68, Train Accuracy : 0.38, Validation Loss : 1.47, Validation Accuracy : 0.50
Epoch : 73, Train Loss : 1.68, Train Accuracy : 0.38, Validation Loss : 1.47, Validation Accuracy : 0.50
Epoch : 74, Train Loss : 1.66, Train Accuracy : 0.39, Validation Loss : 1.45, Validation Accuracy : 0.50
Epoch : 75, Train Loss : 1.68, Train Accuracy : 0.38, Validation Loss : 1.46, Validation Accuracy : 0.51
Epoch : 76, Train Loss : 1.67, Train Accuracy : 0.39, Validation Loss : 1.44, Validation Accuracy : 0.51
Epoch : 77, Train Loss : 1.67, Train Accuracy : 0.38, Validation Loss : 1.45, Validation Accuracy : 0.50
Epoch : 78, Train Loss : 1.67, Train Accuracy : 0.38, Validation Loss : 1.44, Validation Accuracy : 0.51
Epoch : 79, Train Loss : 1.68, Train Accuracy : 0.39, Validation Loss : 1.44, Validation Accuracy : 0.51
Epoch : 80, Train Loss : 1.66, Train Accuracy : 0.39, Validation Loss : 1.44, Validation Accuracy : 0.51
Epoch : 81, Train Loss : 1.64, Train Accuracy : 0.40, Validation Loss : 1.42, Validation Accuracy : 0.52
Epoch : 82, Train Loss : 1.63, Train Accuracy : 0.40, Validation Loss : 1.41, Validation Accuracy : 0.52
Epoch : 83, Train Loss : 1.65, Train Accuracy : 0.39, Validation Loss : 1.40, Validation Accuracy : 0.52
Epoch : 84, Train Loss : 1.65, Train Accuracy : 0.39, Validation Loss : 1.42, Validation Accuracy : 0.52
Epoch : 85, Train Loss : 1.66, Train Accuracy : 0.39, Validation Loss : 1.40, Validation Accuracy : 0.52
Epoch : 86, Train Loss : 1.64, Train Accuracy : 0.40, Validation Loss : 1.39, Validation Accuracy : 0.52
Epoch : 87, Train Loss : 1.63, Train Accuracy : 0.40, Validation Loss : 1.40, Validation Accuracy : 0.52
Epoch : 88, Train Loss : 1.63, Train Accuracy : 0.40, Validation Loss : 1.40, Validation Accuracy : 0.52
Epoch : 89, Train Loss : 1.61, Train Accuracy : 0.40, Validation Loss : 1.40, Validation Accuracy : 0.53
Epoch : 90, Train Loss : 1.62, Train Accuracy : 0.40, Validation Loss : 1.38, Validation Accuracy : 0.53
Epoch : 91, Train Loss : 1.61, Train Accuracy : 0.40, Validation Loss : 1.38, Validation Accuracy : 0.52
Epoch : 92, Train Loss : 1.63, Train Accuracy : 0.40, Validation Loss : 1.38, Validation Accuracy : 0.53
Epoch : 93, Train Loss : 1.62, Train Accuracy : 0.40, Validation Loss : 1.38, Validation Accuracy : 0.53
Epoch : 94, Train Loss : 1.63, Train Accuracy : 0.39, Validation Loss : 1.38, Validation Accuracy : 0.53
Epoch : 95, Train Loss : 1.61, Train Accuracy : 0.41, Validation Loss : 1.36, Validation Accuracy : 0.53
Epoch : 96, Train Loss : 1.60, Train Accuracy : 0.41, Validation Loss : 1.37, Validation Accuracy : 0.52
Epoch : 97, Train Loss : 1.61, Train Accuracy : 0.40, Validation Loss : 1.37, Validation Accuracy : 0.54
Epoch : 98, Train Loss : 1.60, Train Accuracy : 0.41, Validation Loss : 1.35, Validation Accuracy : 0.53
Epoch : 99, Train Loss : 1.60, Train Accuracy : 0.41, Validation Loss : 1.35, Validation Accuracy : 0.53
Epoch : 100, Train Loss : 1.59, Train Accuracy : 0.41, Validation Loss : 1.36, Validation Accuracy : 0.53
Epoch : 101, Train Loss : 1.60, Train Accuracy : 0.41, Validation Loss : 1.37, Validation Accuracy : 0.53
Epoch : 102, Train Loss : 1.58, Train Accuracy : 0.42, Validation Loss : 1.35, Validation Accuracy : 0.53
Epoch : 103, Train Loss : 1.59, Train Accuracy : 0.41, Validation Loss : 1.34, Validation Accuracy : 0.53
Epoch : 104, Train Loss : 1.59, Train Accuracy : 0.41, Validation Loss : 1.35, Validation Accuracy : 0.54
Epoch : 105, Train Loss : 1.58, Train Accuracy : 0.42, Validation Loss : 1.34, Validation Accuracy : 0.54
Epoch : 106, Train Loss : 1.56, Train Accuracy : 0.43, Validation Loss : 1.30, Validation Accuracy : 0.56
Epoch : 107, Train Loss : 1.53, Train Accuracy : 0.45, Validation Loss : 1.27, Validation Accuracy : 0.58
Epoch : 108, Train Loss : 1.54, Train Accuracy : 0.45, Validation Loss : 1.25, Validation Accuracy : 0.59
Epoch : 109, Train Loss : 1.51, Train Accuracy : 0.45, Validation Loss : 1.24, Validation Accuracy : 0.59
Epoch : 110, Train Loss : 1.51, Train Accuracy : 0.46, Validation Loss : 1.24, Validation Accuracy : 0.60
Epoch : 111, Train Loss : 1.50, Train Accuracy : 0.46, Validation Loss : 1.24, Validation Accuracy : 0.59
Epoch : 112, Train Loss : 1.50, Train Accuracy : 0.46, Validation Loss : 1.23, Validation Accuracy : 0.60
Epoch : 113, Train Loss : 1.50, Train Accuracy : 0.46, Validation Loss : 1.23, Validation Accuracy : 0.60
Epoch : 114, Train Loss : 1.51, Train Accuracy : 0.46, Validation Loss : 1.22, Validation Accuracy : 0.60
Epoch : 115, Train Loss : 1.46, Train Accuracy : 0.47, Validation Loss : 1.22, Validation Accuracy : 0.60
Epoch : 116, Train Loss : 1.48, Train Accuracy : 0.47, Validation Loss : 1.21, Validation Accuracy : 0.60
Epoch : 117, Train Loss : 1.46, Train Accuracy : 0.47, Validation Loss : 1.21, Validation Accuracy : 0.60
Epoch : 118, Train Loss : 1.46, Train Accuracy : 0.47, Validation Loss : 1.21, Validation Accuracy : 0.61
Epoch : 119, Train Loss : 1.46, Train Accuracy : 0.47, Validation Loss : 1.19, Validation Accuracy : 0.62
Epoch : 120, Train Loss : 1.49, Train Accuracy : 0.45, Validation Loss : 1.19, Validation Accuracy : 0.62
Epoch : 121, Train Loss : 1.46, Train Accuracy : 0.47, Validation Loss : 1.16, Validation Accuracy : 0.62
Epoch : 122, Train Loss : 1.45, Train Accuracy : 0.47, Validation Loss : 1.16, Validation Accuracy : 0.62
Epoch : 123, Train Loss : 1.45, Train Accuracy : 0.47, Validation Loss : 1.14, Validation Accuracy : 0.62
Epoch : 124, Train Loss : 1.44, Train Accuracy : 0.47, Validation Loss : 1.15, Validation Accuracy : 0.62
Epoch : 125, Train Loss : 1.44, Train Accuracy : 0.47, Validation Loss : 1.15, Validation Accuracy : 0.62
Epoch : 126, Train Loss : 1.45, Train Accuracy : 0.47, Validation Loss : 1.15, Validation Accuracy : 0.62
Epoch : 127, Train Loss : 1.44, Train Accuracy : 0.47, Validation Loss : 1.14, Validation Accuracy : 0.62
Epoch : 128, Train Loss : 1.45, Train Accuracy : 0.47, Validation Loss : 1.13, Validation Accuracy : 0.62
Epoch : 129, Train Loss : 1.42, Train Accuracy : 0.48, Validation Loss : 1.14, Validation Accuracy : 0.62
Epoch : 130, Train Loss : 1.42, Train Accuracy : 0.48, Validation Loss : 1.12, Validation Accuracy : 0.63
Epoch : 131, Train Loss : 1.42, Train Accuracy : 0.48, Validation Loss : 1.13, Validation Accuracy : 0.63
Epoch : 132, Train Loss : 1.41, Train Accuracy : 0.48, Validation Loss : 1.13, Validation Accuracy : 0.63
Epoch : 133, Train Loss : 1.42, Train Accuracy : 0.48, Validation Loss : 1.12, Validation Accuracy : 0.63
Epoch : 134, Train Loss : 1.41, Train Accuracy : 0.48, Validation Loss : 1.11, Validation Accuracy : 0.63
Epoch : 135, Train Loss : 1.41, Train Accuracy : 0.48, Validation Loss : 1.11, Validation Accuracy : 0.63
Epoch : 136, Train Loss : 1.42, Train Accuracy : 0.48, Validation Loss : 1.10, Validation Accuracy : 0.62
Epoch : 137, Train Loss : 1.41, Train Accuracy : 0.48, Validation Loss : 1.10, Validation Accuracy : 0.63
Epoch : 138, Train Loss : 1.42, Train Accuracy : 0.48, Validation Loss : 1.11, Validation Accuracy : 0.63
Epoch : 139, Train Loss : 1.41, Train Accuracy : 0.48, Validation Loss : 1.10, Validation Accuracy : 0.62
Epoch : 140, Train Loss : 1.41, Train Accuracy : 0.48, Validation Loss : 1.10, Validation Accuracy : 0.63
Epoch : 141, Train Loss : 1.38, Train Accuracy : 0.49, Validation Loss : 1.09, Validation Accuracy : 0.63
Epoch : 142, Train Loss : 1.39, Train Accuracy : 0.49, Validation Loss : 1.09, Validation Accuracy : 0.63
Epoch : 143, Train Loss : 1.39, Train Accuracy : 0.49, Validation Loss : 1.08, Validation Accuracy : 0.63
Epoch : 144, Train Loss : 1.38, Train Accuracy : 0.49, Validation Loss : 1.08, Validation Accuracy : 0.63
Epoch : 145, Train Loss : 1.39, Train Accuracy : 0.49, Validation Loss : 1.08, Validation Accuracy : 0.64
Epoch : 146, Train Loss : 1.40, Train Accuracy : 0.48, Validation Loss : 1.08, Validation Accuracy : 0.63
Epoch : 147, Train Loss : 1.39, Train Accuracy : 0.49, Validation Loss : 1.08, Validation Accuracy : 0.64
Epoch : 148, Train Loss : 1.37, Train Accuracy : 0.49, Validation Loss : 1.06, Validation Accuracy : 0.64
Epoch : 149, Train Loss : 1.41, Train Accuracy : 0.48, Validation Loss : 1.07, Validation Accuracy : 0.64
Epoch : 150, Train Loss : 1.39, Train Accuracy : 0.48, Validation Loss : 1.08, Validation Accuracy : 0.64
Epoch : 151, Train Loss : 1.38, Train Accuracy : 0.49, Validation Loss : 1.07, Validation Accuracy : 0.63
Epoch : 152, Train Loss : 1.40, Train Accuracy : 0.48, Validation Loss : 1.06, Validation Accuracy : 0.64
Epoch : 153, Train Loss : 1.37, Train Accuracy : 0.49, Validation Loss : 1.07, Validation Accuracy : 0.63
Epoch : 154, Train Loss : 1.37, Train Accuracy : 0.49, Validation Loss : 1.07, Validation Accuracy : 0.63
Epoch : 155, Train Loss : 1.39, Train Accuracy : 0.49, Validation Loss : 1.06, Validation Accuracy : 0.64
Epoch : 156, Train Loss : 1.38, Train Accuracy : 0.49, Validation Loss : 1.06, Validation Accuracy : 0.64
Epoch : 157, Train Loss : 1.39, Train Accuracy : 0.48, Validation Loss : 1.06, Validation Accuracy : 0.64
Epoch : 158, Train Loss : 1.38, Train Accuracy : 0.49, Validation Loss : 1.07, Validation Accuracy : 0.63
Epoch : 159, Train Loss : 1.37, Train Accuracy : 0.49, Validation Loss : 1.05, Validation Accuracy : 0.63
Epoch : 160, Train Loss : 1.40, Train Accuracy : 0.48, Validation Loss : 1.06, Validation Accuracy : 0.63
Epoch : 161, Train Loss : 1.36, Train Accuracy : 0.49, Validation Loss : 1.06, Validation Accuracy : 0.63
Epoch : 162, Train Loss : 1.36, Train Accuracy : 0.50, Validation Loss : 1.06, Validation Accuracy : 0.64
Epoch : 163, Train Loss : 1.36, Train Accuracy : 0.50, Validation Loss : 1.04, Validation Accuracy : 0.64
Epoch : 164, Train Loss : 1.37, Train Accuracy : 0.49, Validation Loss : 1.06, Validation Accuracy : 0.64
Epoch : 165, Train Loss : 1.36, Train Accuracy : 0.49, Validation Loss : 1.05, Validation Accuracy : 0.64
Epoch : 166, Train Loss : 1.36, Train Accuracy : 0.50, Validation Loss : 1.05, Validation Accuracy : 0.64
Epoch : 167, Train Loss : 1.36, Train Accuracy : 0.50, Validation Loss : 1.05, Validation Accuracy : 0.64
Epoch : 168, Train Loss : 1.36, Train Accuracy : 0.49, Validation Loss : 1.04, Validation Accuracy : 0.64
Epoch : 169, Train Loss : 1.38, Train Accuracy : 0.49, Validation Loss : 1.06, Validation Accuracy : 0.64
Epoch : 170, Train Loss : 1.34, Train Accuracy : 0.50, Validation Loss : 1.05, Validation Accuracy : 0.64
Epoch : 171, Train Loss : 1.36, Train Accuracy : 0.50, Validation Loss : 1.04, Validation Accuracy : 0.64
Epoch : 172, Train Loss : 1.36, Train Accuracy : 0.49, Validation Loss : 1.05, Validation Accuracy : 0.64
Epoch : 173, Train Loss : 1.34, Train Accuracy : 0.50, Validation Loss : 1.04, Validation Accuracy : 0.64
Epoch : 174, Train Loss : 1.36, Train Accuracy : 0.49, Validation Loss : 1.03, Validation Accuracy : 0.64
Epoch : 175, Train Loss : 1.37, Train Accuracy : 0.49, Validation Loss : 1.04, Validation Accuracy : 0.64
Epoch : 176, Train Loss : 1.35, Train Accuracy : 0.50, Validation Loss : 1.04, Validation Accuracy : 0.64
Epoch : 177, Train Loss : 1.38, Train Accuracy : 0.49, Validation Loss : 1.04, Validation Accuracy : 0.64
Epoch : 178, Train Loss : 1.36, Train Accuracy : 0.50, Validation Loss : 1.04, Validation Accuracy : 0.64
Epoch : 179, Train Loss : 1.35, Train Accuracy : 0.50, Validation Loss : 1.04, Validation Accuracy : 0.65
Epoch : 180, Train Loss : 1.35, Train Accuracy : 0.49, Validation Loss : 1.04, Validation Accuracy : 0.64
Epoch : 181, Train Loss : 1.35, Train Accuracy : 0.50, Validation Loss : 1.04, Validation Accuracy : 0.64
Epoch : 182, Train Loss : 1.34, Train Accuracy : 0.50, Validation Loss : 1.03, Validation Accuracy : 0.64
Epoch : 183, Train Loss : 1.34, Train Accuracy : 0.50, Validation Loss : 1.03, Validation Accuracy : 0.64
Epoch : 184, Train Loss : 1.33, Train Accuracy : 0.50, Validation Loss : 1.03, Validation Accuracy : 0.64
Epoch : 185, Train Loss : 1.34, Train Accuracy : 0.50, Validation Loss : 1.02, Validation Accuracy : 0.64
Epoch : 186, Train Loss : 1.36, Train Accuracy : 0.49, Validation Loss : 1.03, Validation Accuracy : 0.64
Epoch : 187, Train Loss : 1.33, Train Accuracy : 0.50, Validation Loss : 1.04, Validation Accuracy : 0.64
Epoch : 188, Train Loss : 1.35, Train Accuracy : 0.50, Validation Loss : 1.03, Validation Accuracy : 0.64
Epoch : 189, Train Loss : 1.32, Train Accuracy : 0.50, Validation Loss : 1.03, Validation Accuracy : 0.64
Epoch : 190, Train Loss : 1.34, Train Accuracy : 0.50, Validation Loss : 1.02, Validation Accuracy : 0.64
Epoch : 191, Train Loss : 1.33, Train Accuracy : 0.50, Validation Loss : 1.03, Validation Accuracy : 0.64
Epoch : 192, Train Loss : 1.35, Train Accuracy : 0.49, Validation Loss : 1.02, Validation Accuracy : 0.64
Epoch : 193, Train Loss : 1.32, Train Accuracy : 0.51, Validation Loss : 1.03, Validation Accuracy : 0.65
Epoch : 194, Train Loss : 1.33, Train Accuracy : 0.50, Validation Loss : 1.03, Validation Accuracy : 0.65
Epoch : 195, Train Loss : 1.34, Train Accuracy : 0.50, Validation Loss : 1.01, Validation Accuracy : 0.65
Epoch : 196, Train Loss : 1.33, Train Accuracy : 0.51, Validation Loss : 1.02, Validation Accuracy : 0.65
Epoch : 197, Train Loss : 1.35, Train Accuracy : 0.49, Validation Loss : 1.00, Validation Accuracy : 0.66
Epoch : 198, Train Loss : 1.32, Train Accuracy : 0.51, Validation Loss : 1.00, Validation Accuracy : 0.66
Epoch : 199, Train Loss : 1.32, Train Accuracy : 0.52, Validation Loss : 0.99, Validation Accuracy : 0.66
Epoch : 200, Train Loss : 1.34, Train Accuracy : 0.51, Validation Loss : 0.99, Validation Accuracy : 0.65
Epoch : 201, Train Loss : 1.30, Train Accuracy : 0.51, Validation Loss : 0.99, Validation Accuracy : 0.66
Epoch : 202, Train Loss : 1.30, Train Accuracy : 0.52, Validation Loss : 0.99, Validation Accuracy : 0.66
Epoch : 203, Train Loss : 1.33, Train Accuracy : 0.51, Validation Loss : 1.00, Validation Accuracy : 0.66
Epoch : 204, Train Loss : 1.33, Train Accuracy : 0.50, Validation Loss : 0.99, Validation Accuracy : 0.66
Epoch : 205, Train Loss : 1.33, Train Accuracy : 0.51, Validation Loss : 0.99, Validation Accuracy : 0.67
Epoch : 206, Train Loss : 1.33, Train Accuracy : 0.51, Validation Loss : 0.99, Validation Accuracy : 0.66
Epoch : 207, Train Loss : 1.30, Train Accuracy : 0.52, Validation Loss : 0.99, Validation Accuracy : 0.66
Epoch : 208, Train Loss : 1.30, Train Accuracy : 0.51, Validation Loss : 0.98, Validation Accuracy : 0.67
Epoch : 209, Train Loss : 1.31, Train Accuracy : 0.51, Validation Loss : 0.99, Validation Accuracy : 0.66
Epoch : 210, Train Loss : 1.32, Train Accuracy : 0.51, Validation Loss : 0.98, Validation Accuracy : 0.66
Epoch : 211, Train Loss : 1.28, Train Accuracy : 0.52, Validation Loss : 0.97, Validation Accuracy : 0.66
Epoch : 212, Train Loss : 1.30, Train Accuracy : 0.51, Validation Loss : 0.98, Validation Accuracy : 0.66
Epoch : 213, Train Loss : 1.29, Train Accuracy : 0.52, Validation Loss : 0.98, Validation Accuracy : 0.66
Epoch : 214, Train Loss : 1.32, Train Accuracy : 0.51, Validation Loss : 0.98, Validation Accuracy : 0.67
Epoch : 215, Train Loss : 1.29, Train Accuracy : 0.52, Validation Loss : 0.98, Validation Accuracy : 0.67
Epoch : 216, Train Loss : 1.28, Train Accuracy : 0.52, Validation Loss : 0.97, Validation Accuracy : 0.66
Epoch : 217, Train Loss : 1.30, Train Accuracy : 0.51, Validation Loss : 0.98, Validation Accuracy : 0.67
Epoch : 218, Train Loss : 1.28, Train Accuracy : 0.52, Validation Loss : 0.96, Validation Accuracy : 0.67
Epoch : 219, Train Loss : 1.29, Train Accuracy : 0.52, Validation Loss : 0.98, Validation Accuracy : 0.66
Epoch : 220, Train Loss : 1.31, Train Accuracy : 0.51, Validation Loss : 0.97, Validation Accuracy : 0.67
Epoch : 221, Train Loss : 1.30, Train Accuracy : 0.51, Validation Loss : 0.97, Validation Accuracy : 0.67
Epoch : 222, Train Loss : 1.30, Train Accuracy : 0.52, Validation Loss : 0.97, Validation Accuracy : 0.67
Epoch : 223, Train Loss : 1.29, Train Accuracy : 0.52, Validation Loss : 0.96, Validation Accuracy : 0.67
Epoch : 224, Train Loss : 1.30, Train Accuracy : 0.51, Validation Loss : 0.97, Validation Accuracy : 0.66
Epoch : 225, Train Loss : 1.30, Train Accuracy : 0.51, Validation Loss : 0.97, Validation Accuracy : 0.66
Epoch : 226, Train Loss : 1.31, Train Accuracy : 0.51, Validation Loss : 0.96, Validation Accuracy : 0.67
Epoch : 227, Train Loss : 1.30, Train Accuracy : 0.51, Validation Loss : 0.97, Validation Accuracy : 0.66
Epoch : 228, Train Loss : 1.30, Train Accuracy : 0.51, Validation Loss : 0.96, Validation Accuracy : 0.67
Epoch : 229, Train Loss : 1.30, Train Accuracy : 0.52, Validation Loss : 0.96, Validation Accuracy : 0.67
Epoch : 230, Train Loss : 1.28, Train Accuracy : 0.52, Validation Loss : 0.96, Validation Accuracy : 0.67
Epoch : 231, Train Loss : 1.29, Train Accuracy : 0.52, Validation Loss : 0.96, Validation Accuracy : 0.66
Epoch : 232, Train Loss : 1.26, Train Accuracy : 0.53, Validation Loss : 0.95, Validation Accuracy : 0.67
Epoch : 233, Train Loss : 1.29, Train Accuracy : 0.51, Validation Loss : 0.96, Validation Accuracy : 0.67
Epoch : 234, Train Loss : 1.28, Train Accuracy : 0.52, Validation Loss : 0.95, Validation Accuracy : 0.67
Epoch : 235, Train Loss : 1.28, Train Accuracy : 0.52, Validation Loss : 0.96, Validation Accuracy : 0.67
Epoch : 236, Train Loss : 1.29, Train Accuracy : 0.51, Validation Loss : 0.96, Validation Accuracy : 0.66
Epoch : 237, Train Loss : 1.29, Train Accuracy : 0.52, Validation Loss : 0.97, Validation Accuracy : 0.67
Epoch : 238, Train Loss : 1.29, Train Accuracy : 0.52, Validation Loss : 0.96, Validation Accuracy : 0.67
Epoch : 239, Train Loss : 1.29, Train Accuracy : 0.51, Validation Loss : 0.95, Validation Accuracy : 0.67
Epoch : 240, Train Loss : 1.27, Train Accuracy : 0.52, Validation Loss : 0.96, Validation Accuracy : 0.67
Epoch : 241, Train Loss : 1.28, Train Accuracy : 0.52, Validation Loss : 0.96, Validation Accuracy : 0.67
Epoch : 242, Train Loss : 1.28, Train Accuracy : 0.52, Validation Loss : 0.95, Validation Accuracy : 0.67
Epoch : 243, Train Loss : 1.27, Train Accuracy : 0.52, Validation Loss : 0.96, Validation Accuracy : 0.67
Epoch : 244, Train Loss : 1.27, Train Accuracy : 0.53, Validation Loss : 0.96, Validation Accuracy : 0.67
Epoch : 245, Train Loss : 1.28, Train Accuracy : 0.52, Validation Loss : 0.95, Validation Accuracy : 0.67
Epoch : 246, Train Loss : 1.28, Train Accuracy : 0.52, Validation Loss : 0.94, Validation Accuracy : 0.67
Epoch : 247, Train Loss : 1.27, Train Accuracy : 0.52, Validation Loss : 0.95, Validation Accuracy : 0.67
Epoch : 248, Train Loss : 1.29, Train Accuracy : 0.51, Validation Loss : 0.95, Validation Accuracy : 0.67
Epoch : 249, Train Loss : 1.28, Train Accuracy : 0.52, Validation Loss : 0.95, Validation Accuracy : 0.67
Epoch : 250, Train Loss : 1.28, Train Accuracy : 0.52, Validation Loss : 0.94, Validation Accuracy : 0.67
Epoch : 251, Train Loss : 1.26, Train Accuracy : 0.53, Validation Loss : 0.94, Validation Accuracy : 0.68
Epoch : 252, Train Loss : 1.26, Train Accuracy : 0.53, Validation Loss : 0.94, Validation Accuracy : 0.68
Epoch : 253, Train Loss : 1.25, Train Accuracy : 0.53, Validation Loss : 0.93, Validation Accuracy : 0.68
Epoch : 254, Train Loss : 1.27, Train Accuracy : 0.53, Validation Loss : 0.93, Validation Accuracy : 0.68
Epoch : 255, Train Loss : 1.26, Train Accuracy : 0.53, Validation Loss : 0.93, Validation Accuracy : 0.68
Epoch : 256, Train Loss : 1.26, Train Accuracy : 0.53, Validation Loss : 0.92, Validation Accuracy : 0.68
Epoch : 257, Train Loss : 1.25, Train Accuracy : 0.54, Validation Loss : 0.92, Validation Accuracy : 0.68
Epoch : 258, Train Loss : 1.26, Train Accuracy : 0.53, Validation Loss : 0.92, Validation Accuracy : 0.68
Epoch : 259, Train Loss : 1.26, Train Accuracy : 0.53, Validation Loss : 0.92, Validation Accuracy : 0.68
Epoch : 260, Train Loss : 1.26, Train Accuracy : 0.53, Validation Loss : 0.92, Validation Accuracy : 0.68
Epoch : 261, Train Loss : 1.24, Train Accuracy : 0.54, Validation Loss : 0.93, Validation Accuracy : 0.68
Epoch : 262, Train Loss : 1.27, Train Accuracy : 0.52, Validation Loss : 0.91, Validation Accuracy : 0.68
Epoch : 263, Train Loss : 1.27, Train Accuracy : 0.52, Validation Loss : 0.93, Validation Accuracy : 0.68
Epoch : 264, Train Loss : 1.27, Train Accuracy : 0.52, Validation Loss : 0.93, Validation Accuracy : 0.68
Epoch : 265, Train Loss : 1.25, Train Accuracy : 0.53, Validation Loss : 0.92, Validation Accuracy : 0.68
Epoch : 266, Train Loss : 1.25, Train Accuracy : 0.53, Validation Loss : 0.91, Validation Accuracy : 0.68
Epoch : 267, Train Loss : 1.27, Train Accuracy : 0.52, Validation Loss : 0.92, Validation Accuracy : 0.68
Epoch : 268, Train Loss : 1.23, Train Accuracy : 0.54, Validation Loss : 0.92, Validation Accuracy : 0.68
Epoch : 269, Train Loss : 1.24, Train Accuracy : 0.53, Validation Loss : 0.91, Validation Accuracy : 0.68
Epoch : 270, Train Loss : 1.28, Train Accuracy : 0.52, Validation Loss : 0.91, Validation Accuracy : 0.68
Epoch : 271, Train Loss : 1.26, Train Accuracy : 0.53, Validation Loss : 0.91, Validation Accuracy : 0.68
Epoch : 272, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.91, Validation Accuracy : 0.68
Epoch : 273, Train Loss : 1.23, Train Accuracy : 0.54, Validation Loss : 0.91, Validation Accuracy : 0.68
Epoch : 274, Train Loss : 1.26, Train Accuracy : 0.53, Validation Loss : 0.92, Validation Accuracy : 0.68
Epoch : 275, Train Loss : 1.25, Train Accuracy : 0.53, Validation Loss : 0.91, Validation Accuracy : 0.68
Epoch : 276, Train Loss : 1.24, Train Accuracy : 0.53, Validation Loss : 0.91, Validation Accuracy : 0.68
Epoch : 277, Train Loss : 1.26, Train Accuracy : 0.53, Validation Loss : 0.93, Validation Accuracy : 0.68
Epoch : 278, Train Loss : 1.24, Train Accuracy : 0.54, Validation Loss : 0.91, Validation Accuracy : 0.68
Epoch : 279, Train Loss : 1.25, Train Accuracy : 0.53, Validation Loss : 0.91, Validation Accuracy : 0.68
Epoch : 280, Train Loss : 1.23, Train Accuracy : 0.54, Validation Loss : 0.90, Validation Accuracy : 0.69
Epoch : 281, Train Loss : 1.23, Train Accuracy : 0.54, Validation Loss : 0.90, Validation Accuracy : 0.69
Epoch : 282, Train Loss : 1.24, Train Accuracy : 0.53, Validation Loss : 0.90, Validation Accuracy : 0.69
Epoch : 283, Train Loss : 1.23, Train Accuracy : 0.54, Validation Loss : 0.90, Validation Accuracy : 0.68
Epoch : 284, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.91, Validation Accuracy : 0.68
Epoch : 285, Train Loss : 1.26, Train Accuracy : 0.53, Validation Loss : 0.91, Validation Accuracy : 0.68
Epoch : 286, Train Loss : 1.23, Train Accuracy : 0.54, Validation Loss : 0.90, Validation Accuracy : 0.69
Epoch : 287, Train Loss : 1.23, Train Accuracy : 0.54, Validation Loss : 0.91, Validation Accuracy : 0.69
Epoch : 288, Train Loss : 1.24, Train Accuracy : 0.53, Validation Loss : 0.91, Validation Accuracy : 0.69
Epoch : 289, Train Loss : 1.25, Train Accuracy : 0.53, Validation Loss : 0.90, Validation Accuracy : 0.68
Epoch : 290, Train Loss : 1.23, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 291, Train Loss : 1.24, Train Accuracy : 0.53, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 292, Train Loss : 1.23, Train Accuracy : 0.53, Validation Loss : 0.89, Validation Accuracy : 0.68
Epoch : 293, Train Loss : 1.23, Train Accuracy : 0.53, Validation Loss : 0.90, Validation Accuracy : 0.68
Epoch : 294, Train Loss : 1.23, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 295, Train Loss : 1.23, Train Accuracy : 0.53, Validation Loss : 0.90, Validation Accuracy : 0.69
Epoch : 296, Train Loss : 1.24, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 297, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 298, Train Loss : 1.24, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 299, Train Loss : 1.23, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 300, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 301, Train Loss : 1.24, Train Accuracy : 0.53, Validation Loss : 0.90, Validation Accuracy : 0.69
Epoch : 302, Train Loss : 1.24, Train Accuracy : 0.54, Validation Loss : 0.90, Validation Accuracy : 0.68
Epoch : 303, Train Loss : 1.23, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 304, Train Loss : 1.24, Train Accuracy : 0.53, Validation Loss : 0.90, Validation Accuracy : 0.69
Epoch : 305, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.90, Validation Accuracy : 0.69
Epoch : 306, Train Loss : 1.25, Train Accuracy : 0.53, Validation Loss : 0.90, Validation Accuracy : 0.69
Epoch : 307, Train Loss : 1.26, Train Accuracy : 0.53, Validation Loss : 0.90, Validation Accuracy : 0.69
Epoch : 308, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 309, Train Loss : 1.24, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 310, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 311, Train Loss : 1.23, Train Accuracy : 0.54, Validation Loss : 0.90, Validation Accuracy : 0.69
Epoch : 312, Train Loss : 1.23, Train Accuracy : 0.53, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 313, Train Loss : 1.24, Train Accuracy : 0.54, Validation Loss : 0.90, Validation Accuracy : 0.68
Epoch : 314, Train Loss : 1.24, Train Accuracy : 0.53, Validation Loss : 0.89, Validation Accuracy : 0.68
Epoch : 315, Train Loss : 1.25, Train Accuracy : 0.53, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 316, Train Loss : 1.24, Train Accuracy : 0.53, Validation Loss : 0.91, Validation Accuracy : 0.69
Epoch : 317, Train Loss : 1.24, Train Accuracy : 0.53, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 318, Train Loss : 1.24, Train Accuracy : 0.54, Validation Loss : 0.90, Validation Accuracy : 0.69
Epoch : 319, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 320, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.88, Validation Accuracy : 0.69
Epoch : 321, Train Loss : 1.24, Train Accuracy : 0.53, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 322, Train Loss : 1.24, Train Accuracy : 0.53, Validation Loss : 0.88, Validation Accuracy : 0.69
Epoch : 323, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 324, Train Loss : 1.25, Train Accuracy : 0.53, Validation Loss : 0.88, Validation Accuracy : 0.69
Epoch : 325, Train Loss : 1.23, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 326, Train Loss : 1.24, Train Accuracy : 0.53, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 327, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 328, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 329, Train Loss : 1.23, Train Accuracy : 0.53, Validation Loss : 0.90, Validation Accuracy : 0.69
Epoch : 330, Train Loss : 1.23, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 331, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 332, Train Loss : 1.23, Train Accuracy : 0.53, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 333, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 334, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 335, Train Loss : 1.23, Train Accuracy : 0.54, Validation Loss : 0.88, Validation Accuracy : 0.69
Epoch : 336, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.90, Validation Accuracy : 0.69
Epoch : 337, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 338, Train Loss : 1.23, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 339, Train Loss : 1.21, Train Accuracy : 0.55, Validation Loss : 0.88, Validation Accuracy : 0.69
Epoch : 340, Train Loss : 1.20, Train Accuracy : 0.55, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 341, Train Loss : 1.21, Train Accuracy : 0.55, Validation Loss : 0.89, Validation Accuracy : 0.68
Epoch : 342, Train Loss : 1.24, Train Accuracy : 0.53, Validation Loss : 0.88, Validation Accuracy : 0.69
Epoch : 343, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.88, Validation Accuracy : 0.69
Epoch : 344, Train Loss : 1.20, Train Accuracy : 0.54, Validation Loss : 0.88, Validation Accuracy : 0.69
Epoch : 345, Train Loss : 1.23, Train Accuracy : 0.53, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 346, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.88, Validation Accuracy : 0.69
Epoch : 347, Train Loss : 1.22, Train Accuracy : 0.55, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 348, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 349, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 350, Train Loss : 1.21, Train Accuracy : 0.55, Validation Loss : 0.88, Validation Accuracy : 0.69
Epoch : 351, Train Loss : 1.20, Train Accuracy : 0.54, Validation Loss : 0.89, Validation Accuracy : 0.69
Epoch : 352, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.88, Validation Accuracy : 0.69
Epoch : 353, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.88, Validation Accuracy : 0.69
Epoch : 354, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 355, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 356, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 357, Train Loss : 1.23, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 358, Train Loss : 1.20, Train Accuracy : 0.55, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 359, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 360, Train Loss : 1.19, Train Accuracy : 0.55, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 361, Train Loss : 1.20, Train Accuracy : 0.55, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 362, Train Loss : 1.23, Train Accuracy : 0.54, Validation Loss : 0.88, Validation Accuracy : 0.69
Epoch : 363, Train Loss : 1.23, Train Accuracy : 0.53, Validation Loss : 0.88, Validation Accuracy : 0.69
Epoch : 364, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 365, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.88, Validation Accuracy : 0.69
Epoch : 366, Train Loss : 1.20, Train Accuracy : 0.55, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 367, Train Loss : 1.20, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 368, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 369, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 370, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 371, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 372, Train Loss : 1.23, Train Accuracy : 0.53, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 373, Train Loss : 1.25, Train Accuracy : 0.53, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 374, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 375, Train Loss : 1.21, Train Accuracy : 0.55, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 376, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 377, Train Loss : 1.19, Train Accuracy : 0.55, Validation Loss : 0.88, Validation Accuracy : 0.69
Epoch : 378, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 379, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 380, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 381, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 382, Train Loss : 1.20, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 383, Train Loss : 1.22, Train Accuracy : 0.53, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 384, Train Loss : 1.20, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 385, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 386, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 387, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 388, Train Loss : 1.20, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 389, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 390, Train Loss : 1.18, Train Accuracy : 0.55, Validation Loss : 0.87, Validation Accuracy : 0.70
Epoch : 391, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.88, Validation Accuracy : 0.69
Epoch : 392, Train Loss : 1.23, Train Accuracy : 0.53, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 393, Train Loss : 1.20, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 394, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 395, Train Loss : 1.17, Train Accuracy : 0.55, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 396, Train Loss : 1.18, Train Accuracy : 0.55, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 397, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 398, Train Loss : 1.22, Train Accuracy : 0.53, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 399, Train Loss : 1.24, Train Accuracy : 0.53, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 400, Train Loss : 1.18, Train Accuracy : 0.55, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 401, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.88, Validation Accuracy : 0.68
Epoch : 402, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 403, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.88, Validation Accuracy : 0.69
Epoch : 404, Train Loss : 1.20, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 405, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.88, Validation Accuracy : 0.69
Epoch : 406, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 407, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.70
Epoch : 408, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.70
Epoch : 409, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.70
Epoch : 410, Train Loss : 1.19, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 411, Train Loss : 1.20, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.70
Epoch : 412, Train Loss : 1.20, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 413, Train Loss : 1.20, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 414, Train Loss : 1.18, Train Accuracy : 0.55, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 415, Train Loss : 1.20, Train Accuracy : 0.55, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 416, Train Loss : 1.20, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.70
Epoch : 417, Train Loss : 1.20, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 418, Train Loss : 1.20, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 419, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 420, Train Loss : 1.20, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 421, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 422, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 423, Train Loss : 1.21, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 424, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 425, Train Loss : 1.18, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.70
Epoch : 426, Train Loss : 1.18, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 427, Train Loss : 1.19, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.70
Epoch : 428, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 429, Train Loss : 1.19, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 430, Train Loss : 1.19, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.70
Epoch : 431, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 432, Train Loss : 1.20, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.70
Epoch : 433, Train Loss : 1.20, Train Accuracy : 0.55, Validation Loss : 0.87, Validation Accuracy : 0.70
Epoch : 434, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 435, Train Loss : 1.20, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 436, Train Loss : 1.23, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.70
Epoch : 437, Train Loss : 1.18, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.70
Epoch : 438, Train Loss : 1.20, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 439, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.70
Epoch : 440, Train Loss : 1.19, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 441, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.85, Validation Accuracy : 0.69
Epoch : 442, Train Loss : 1.19, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 443, Train Loss : 1.20, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 444, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 445, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 446, Train Loss : 1.19, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 447, Train Loss : 1.18, Train Accuracy : 0.55, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 448, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 449, Train Loss : 1.19, Train Accuracy : 0.55, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 450, Train Loss : 1.20, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.70
Epoch : 451, Train Loss : 1.20, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 452, Train Loss : 1.20, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 453, Train Loss : 1.19, Train Accuracy : 0.55, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 454, Train Loss : 1.19, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.70
Epoch : 455, Train Loss : 1.18, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 456, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 457, Train Loss : 1.19, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 458, Train Loss : 1.18, Train Accuracy : 0.55, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 459, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.70
Epoch : 460, Train Loss : 1.18, Train Accuracy : 0.55, Validation Loss : 0.85, Validation Accuracy : 0.69
Epoch : 461, Train Loss : 1.20, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 462, Train Loss : 1.20, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 463, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.70
Epoch : 464, Train Loss : 1.18, Train Accuracy : 0.55, Validation Loss : 0.85, Validation Accuracy : 0.69
Epoch : 465, Train Loss : 1.20, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 466, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 467, Train Loss : 1.19, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 468, Train Loss : 1.18, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 469, Train Loss : 1.18, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 470, Train Loss : 1.19, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 471, Train Loss : 1.18, Train Accuracy : 0.55, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 472, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 473, Train Loss : 1.18, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.70
Epoch : 474, Train Loss : 1.22, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 475, Train Loss : 1.20, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.70
Epoch : 476, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 477, Train Loss : 1.18, Train Accuracy : 0.55, Validation Loss : 0.88, Validation Accuracy : 0.69
Epoch : 478, Train Loss : 1.18, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 479, Train Loss : 1.20, Train Accuracy : 0.55, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 480, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 481, Train Loss : 1.20, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 482, Train Loss : 1.20, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 483, Train Loss : 1.20, Train Accuracy : 0.55, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 484, Train Loss : 1.20, Train Accuracy : 0.54, Validation Loss : 0.87, Validation Accuracy : 0.69
Epoch : 485, Train Loss : 1.18, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 486, Train Loss : 1.19, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 487, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 488, Train Loss : 1.18, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.70
Epoch : 489, Train Loss : 1.19, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.70
Epoch : 490, Train Loss : 1.20, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 491, Train Loss : 1.19, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 492, Train Loss : 1.18, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 493, Train Loss : 1.18, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 494, Train Loss : 1.17, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 495, Train Loss : 1.19, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 496, Train Loss : 1.20, Train Accuracy : 0.54, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 497, Train Loss : 1.17, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69
Epoch : 498, Train Loss : 1.21, Train Accuracy : 0.54, Validation Loss : 0.85, Validation Accuracy : 0.69
Epoch : 499, Train Loss : 1.18, Train Accuracy : 0.55, Validation Loss : 0.86, Validation Accuracy : 0.69



















In [ ]:



    


fig, (ax1, ax2) = plt.subplots(1,2, figsize=(15,6))

fig.suptitle(f"model_nn_3_layers_simple : 500 Epochs, 3e-4 Adam", fontsize=16)
ax1.plot(history7['train_acc'], label='train accuracy')
ax1.plot(history7['valid_acc'], label='valid accuracy')
ax1.legend()


ax2.plot(history7['train_loss'], label='train loss')
ax2.plot(history7['valid_loss'], label='valid loss')
ax2.legend()

fig.show()



    















    


























In [ ]:



    


model_6_layers = NNModel_6Layers(input_size, output_size)
history8 = fit(model_6_layers, train_dl, test_dl, 500, 0.001, optim=torch.optim.SGD)



    















    






Epoch : 0, Train Loss : 2.30, Train Accuracy : 0.12, Validation Loss : 2.26, Validation Accuracy : 0.15
Epoch : 1, Train Loss : 2.28, Train Accuracy : 0.13, Validation Loss : 2.25, Validation Accuracy : 0.15
Epoch : 2, Train Loss : 2.27, Train Accuracy : 0.14, Validation Loss : 2.23, Validation Accuracy : 0.15
Epoch : 3, Train Loss : 2.27, Train Accuracy : 0.14, Validation Loss : 2.21, Validation Accuracy : 0.14
Epoch : 4, Train Loss : 2.26, Train Accuracy : 0.14, Validation Loss : 2.20, Validation Accuracy : 0.18
Epoch : 5, Train Loss : 2.25, Train Accuracy : 0.15, Validation Loss : 2.19, Validation Accuracy : 0.20
Epoch : 6, Train Loss : 2.24, Train Accuracy : 0.16, Validation Loss : 2.17, Validation Accuracy : 0.23
Epoch : 7, Train Loss : 2.23, Train Accuracy : 0.17, Validation Loss : 2.16, Validation Accuracy : 0.25
Epoch : 8, Train Loss : 2.23, Train Accuracy : 0.17, Validation Loss : 2.15, Validation Accuracy : 0.24
Epoch : 9, Train Loss : 2.22, Train Accuracy : 0.18, Validation Loss : 2.14, Validation Accuracy : 0.25
Epoch : 10, Train Loss : 2.22, Train Accuracy : 0.18, Validation Loss : 2.13, Validation Accuracy : 0.25
Epoch : 11, Train Loss : 2.21, Train Accuracy : 0.18, Validation Loss : 2.12, Validation Accuracy : 0.29
Epoch : 12, Train Loss : 2.20, Train Accuracy : 0.20, Validation Loss : 2.11, Validation Accuracy : 0.27
Epoch : 13, Train Loss : 2.19, Train Accuracy : 0.20, Validation Loss : 2.10, Validation Accuracy : 0.30
Epoch : 14, Train Loss : 2.17, Train Accuracy : 0.21, Validation Loss : 2.09, Validation Accuracy : 0.29
Epoch : 15, Train Loss : 2.18, Train Accuracy : 0.21, Validation Loss : 2.07, Validation Accuracy : 0.30
Epoch : 16, Train Loss : 2.15, Train Accuracy : 0.23, Validation Loss : 2.06, Validation Accuracy : 0.30
Epoch : 17, Train Loss : 2.15, Train Accuracy : 0.23, Validation Loss : 2.04, Validation Accuracy : 0.31
Epoch : 18, Train Loss : 2.14, Train Accuracy : 0.24, Validation Loss : 2.03, Validation Accuracy : 0.31
Epoch : 19, Train Loss : 2.12, Train Accuracy : 0.24, Validation Loss : 2.01, Validation Accuracy : 0.32
Epoch : 20, Train Loss : 2.10, Train Accuracy : 0.26, Validation Loss : 2.00, Validation Accuracy : 0.33
Epoch : 21, Train Loss : 2.10, Train Accuracy : 0.26, Validation Loss : 1.99, Validation Accuracy : 0.34
Epoch : 22, Train Loss : 2.09, Train Accuracy : 0.27, Validation Loss : 1.97, Validation Accuracy : 0.34
Epoch : 23, Train Loss : 2.08, Train Accuracy : 0.28, Validation Loss : 1.96, Validation Accuracy : 0.35
Epoch : 24, Train Loss : 2.08, Train Accuracy : 0.28, Validation Loss : 1.95, Validation Accuracy : 0.36
Epoch : 25, Train Loss : 2.06, Train Accuracy : 0.29, Validation Loss : 1.94, Validation Accuracy : 0.36
Epoch : 26, Train Loss : 2.04, Train Accuracy : 0.30, Validation Loss : 1.92, Validation Accuracy : 0.37
Epoch : 27, Train Loss : 2.04, Train Accuracy : 0.30, Validation Loss : 1.91, Validation Accuracy : 0.37
Epoch : 28, Train Loss : 2.03, Train Accuracy : 0.30, Validation Loss : 1.90, Validation Accuracy : 0.38
Epoch : 29, Train Loss : 2.02, Train Accuracy : 0.31, Validation Loss : 1.89, Validation Accuracy : 0.38
Epoch : 30, Train Loss : 2.00, Train Accuracy : 0.32, Validation Loss : 1.88, Validation Accuracy : 0.39
Epoch : 31, Train Loss : 1.99, Train Accuracy : 0.32, Validation Loss : 1.87, Validation Accuracy : 0.37
Epoch : 32, Train Loss : 1.99, Train Accuracy : 0.32, Validation Loss : 1.86, Validation Accuracy : 0.39
Epoch : 33, Train Loss : 1.99, Train Accuracy : 0.33, Validation Loss : 1.85, Validation Accuracy : 0.38
Epoch : 34, Train Loss : 1.97, Train Accuracy : 0.33, Validation Loss : 1.84, Validation Accuracy : 0.39
Epoch : 35, Train Loss : 1.97, Train Accuracy : 0.33, Validation Loss : 1.83, Validation Accuracy : 0.41
Epoch : 36, Train Loss : 1.95, Train Accuracy : 0.34, Validation Loss : 1.82, Validation Accuracy : 0.40
Epoch : 37, Train Loss : 1.95, Train Accuracy : 0.34, Validation Loss : 1.81, Validation Accuracy : 0.41
Epoch : 38, Train Loss : 1.94, Train Accuracy : 0.34, Validation Loss : 1.80, Validation Accuracy : 0.41
Epoch : 39, Train Loss : 1.92, Train Accuracy : 0.35, Validation Loss : 1.79, Validation Accuracy : 0.42
Epoch : 40, Train Loss : 1.92, Train Accuracy : 0.34, Validation Loss : 1.78, Validation Accuracy : 0.42
Epoch : 41, Train Loss : 1.92, Train Accuracy : 0.35, Validation Loss : 1.77, Validation Accuracy : 0.43
Epoch : 42, Train Loss : 1.90, Train Accuracy : 0.37, Validation Loss : 1.75, Validation Accuracy : 0.44
Epoch : 43, Train Loss : 1.89, Train Accuracy : 0.36, Validation Loss : 1.75, Validation Accuracy : 0.44
Epoch : 44, Train Loss : 1.89, Train Accuracy : 0.36, Validation Loss : 1.74, Validation Accuracy : 0.44
Epoch : 45, Train Loss : 1.88, Train Accuracy : 0.37, Validation Loss : 1.73, Validation Accuracy : 0.44
Epoch : 46, Train Loss : 1.88, Train Accuracy : 0.36, Validation Loss : 1.73, Validation Accuracy : 0.44
Epoch : 47, Train Loss : 1.88, Train Accuracy : 0.36, Validation Loss : 1.72, Validation Accuracy : 0.46
Epoch : 48, Train Loss : 1.86, Train Accuracy : 0.37, Validation Loss : 1.70, Validation Accuracy : 0.45
Epoch : 49, Train Loss : 1.85, Train Accuracy : 0.37, Validation Loss : 1.69, Validation Accuracy : 0.45
Epoch : 50, Train Loss : 1.84, Train Accuracy : 0.38, Validation Loss : 1.68, Validation Accuracy : 0.46
Epoch : 51, Train Loss : 1.83, Train Accuracy : 0.38, Validation Loss : 1.68, Validation Accuracy : 0.46
Epoch : 52, Train Loss : 1.83, Train Accuracy : 0.38, Validation Loss : 1.67, Validation Accuracy : 0.46
Epoch : 53, Train Loss : 1.82, Train Accuracy : 0.39, Validation Loss : 1.66, Validation Accuracy : 0.46
Epoch : 54, Train Loss : 1.81, Train Accuracy : 0.39, Validation Loss : 1.65, Validation Accuracy : 0.46
Epoch : 55, Train Loss : 1.81, Train Accuracy : 0.39, Validation Loss : 1.64, Validation Accuracy : 0.46
Epoch : 56, Train Loss : 1.82, Train Accuracy : 0.39, Validation Loss : 1.64, Validation Accuracy : 0.45
Epoch : 57, Train Loss : 1.80, Train Accuracy : 0.39, Validation Loss : 1.64, Validation Accuracy : 0.47
Epoch : 58, Train Loss : 1.79, Train Accuracy : 0.40, Validation Loss : 1.62, Validation Accuracy : 0.47
Epoch : 59, Train Loss : 1.77, Train Accuracy : 0.40, Validation Loss : 1.62, Validation Accuracy : 0.47
Epoch : 60, Train Loss : 1.78, Train Accuracy : 0.40, Validation Loss : 1.62, Validation Accuracy : 0.47
Epoch : 61, Train Loss : 1.78, Train Accuracy : 0.40, Validation Loss : 1.61, Validation Accuracy : 0.47
Epoch : 62, Train Loss : 1.77, Train Accuracy : 0.41, Validation Loss : 1.60, Validation Accuracy : 0.47
Epoch : 63, Train Loss : 1.77, Train Accuracy : 0.41, Validation Loss : 1.59, Validation Accuracy : 0.48
Epoch : 64, Train Loss : 1.76, Train Accuracy : 0.41, Validation Loss : 1.58, Validation Accuracy : 0.48
Epoch : 65, Train Loss : 1.74, Train Accuracy : 0.41, Validation Loss : 1.58, Validation Accuracy : 0.48
Epoch : 66, Train Loss : 1.75, Train Accuracy : 0.42, Validation Loss : 1.57, Validation Accuracy : 0.49
Epoch : 67, Train Loss : 1.74, Train Accuracy : 0.42, Validation Loss : 1.56, Validation Accuracy : 0.48
Epoch : 68, Train Loss : 1.74, Train Accuracy : 0.42, Validation Loss : 1.56, Validation Accuracy : 0.49
Epoch : 69, Train Loss : 1.73, Train Accuracy : 0.42, Validation Loss : 1.55, Validation Accuracy : 0.49
Epoch : 70, Train Loss : 1.73, Train Accuracy : 0.42, Validation Loss : 1.55, Validation Accuracy : 0.50
Epoch : 71, Train Loss : 1.73, Train Accuracy : 0.42, Validation Loss : 1.55, Validation Accuracy : 0.50
Epoch : 72, Train Loss : 1.73, Train Accuracy : 0.43, Validation Loss : 1.54, Validation Accuracy : 0.50
Epoch : 73, Train Loss : 1.70, Train Accuracy : 0.43, Validation Loss : 1.53, Validation Accuracy : 0.50
Epoch : 74, Train Loss : 1.72, Train Accuracy : 0.43, Validation Loss : 1.53, Validation Accuracy : 0.49
Epoch : 75, Train Loss : 1.70, Train Accuracy : 0.44, Validation Loss : 1.52, Validation Accuracy : 0.50
Epoch : 76, Train Loss : 1.70, Train Accuracy : 0.43, Validation Loss : 1.52, Validation Accuracy : 0.50
Epoch : 77, Train Loss : 1.69, Train Accuracy : 0.43, Validation Loss : 1.51, Validation Accuracy : 0.50
Epoch : 78, Train Loss : 1.71, Train Accuracy : 0.43, Validation Loss : 1.51, Validation Accuracy : 0.50
Epoch : 79, Train Loss : 1.69, Train Accuracy : 0.43, Validation Loss : 1.51, Validation Accuracy : 0.51
Epoch : 80, Train Loss : 1.68, Train Accuracy : 0.44, Validation Loss : 1.50, Validation Accuracy : 0.50
Epoch : 81, Train Loss : 1.67, Train Accuracy : 0.44, Validation Loss : 1.49, Validation Accuracy : 0.51
Epoch : 82, Train Loss : 1.69, Train Accuracy : 0.44, Validation Loss : 1.50, Validation Accuracy : 0.50
Epoch : 83, Train Loss : 1.69, Train Accuracy : 0.43, Validation Loss : 1.49, Validation Accuracy : 0.51
Epoch : 84, Train Loss : 1.66, Train Accuracy : 0.45, Validation Loss : 1.48, Validation Accuracy : 0.51
Epoch : 85, Train Loss : 1.67, Train Accuracy : 0.44, Validation Loss : 1.48, Validation Accuracy : 0.51
Epoch : 86, Train Loss : 1.66, Train Accuracy : 0.44, Validation Loss : 1.47, Validation Accuracy : 0.51
Epoch : 87, Train Loss : 1.65, Train Accuracy : 0.45, Validation Loss : 1.46, Validation Accuracy : 0.52
Epoch : 88, Train Loss : 1.65, Train Accuracy : 0.45, Validation Loss : 1.47, Validation Accuracy : 0.52
Epoch : 89, Train Loss : 1.63, Train Accuracy : 0.45, Validation Loss : 1.46, Validation Accuracy : 0.52
Epoch : 90, Train Loss : 1.66, Train Accuracy : 0.45, Validation Loss : 1.46, Validation Accuracy : 0.52
Epoch : 91, Train Loss : 1.64, Train Accuracy : 0.46, Validation Loss : 1.45, Validation Accuracy : 0.52
Epoch : 92, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.44, Validation Accuracy : 0.52
Epoch : 93, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.45, Validation Accuracy : 0.53
Epoch : 94, Train Loss : 1.65, Train Accuracy : 0.46, Validation Loss : 1.44, Validation Accuracy : 0.53
Epoch : 95, Train Loss : 1.64, Train Accuracy : 0.45, Validation Loss : 1.44, Validation Accuracy : 0.53
Epoch : 96, Train Loss : 1.63, Train Accuracy : 0.46, Validation Loss : 1.44, Validation Accuracy : 0.53
Epoch : 97, Train Loss : 1.62, Train Accuracy : 0.46, Validation Loss : 1.43, Validation Accuracy : 0.53
Epoch : 98, Train Loss : 1.60, Train Accuracy : 0.48, Validation Loss : 1.42, Validation Accuracy : 0.54
Epoch : 99, Train Loss : 1.62, Train Accuracy : 0.46, Validation Loss : 1.42, Validation Accuracy : 0.54
Epoch : 100, Train Loss : 1.62, Train Accuracy : 0.47, Validation Loss : 1.42, Validation Accuracy : 0.54
Epoch : 101, Train Loss : 1.62, Train Accuracy : 0.47, Validation Loss : 1.41, Validation Accuracy : 0.53
Epoch : 102, Train Loss : 1.61, Train Accuracy : 0.47, Validation Loss : 1.41, Validation Accuracy : 0.54
Epoch : 103, Train Loss : 1.59, Train Accuracy : 0.47, Validation Loss : 1.40, Validation Accuracy : 0.53
Epoch : 104, Train Loss : 1.59, Train Accuracy : 0.48, Validation Loss : 1.40, Validation Accuracy : 0.54
Epoch : 105, Train Loss : 1.60, Train Accuracy : 0.48, Validation Loss : 1.40, Validation Accuracy : 0.55
Epoch : 106, Train Loss : 1.60, Train Accuracy : 0.48, Validation Loss : 1.41, Validation Accuracy : 0.54
Epoch : 107, Train Loss : 1.58, Train Accuracy : 0.49, Validation Loss : 1.39, Validation Accuracy : 0.56
Epoch : 108, Train Loss : 1.60, Train Accuracy : 0.47, Validation Loss : 1.40, Validation Accuracy : 0.56
Epoch : 109, Train Loss : 1.59, Train Accuracy : 0.48, Validation Loss : 1.38, Validation Accuracy : 0.55
Epoch : 110, Train Loss : 1.57, Train Accuracy : 0.49, Validation Loss : 1.38, Validation Accuracy : 0.55
Epoch : 111, Train Loss : 1.57, Train Accuracy : 0.49, Validation Loss : 1.38, Validation Accuracy : 0.55
Epoch : 112, Train Loss : 1.56, Train Accuracy : 0.49, Validation Loss : 1.37, Validation Accuracy : 0.57
Epoch : 113, Train Loss : 1.57, Train Accuracy : 0.49, Validation Loss : 1.38, Validation Accuracy : 0.56
Epoch : 114, Train Loss : 1.57, Train Accuracy : 0.49, Validation Loss : 1.36, Validation Accuracy : 0.56
Epoch : 115, Train Loss : 1.57, Train Accuracy : 0.49, Validation Loss : 1.36, Validation Accuracy : 0.56
Epoch : 116, Train Loss : 1.53, Train Accuracy : 0.50, Validation Loss : 1.36, Validation Accuracy : 0.55
Epoch : 117, Train Loss : 1.54, Train Accuracy : 0.51, Validation Loss : 1.35, Validation Accuracy : 0.56
Epoch : 118, Train Loss : 1.54, Train Accuracy : 0.50, Validation Loss : 1.35, Validation Accuracy : 0.56
Epoch : 119, Train Loss : 1.54, Train Accuracy : 0.51, Validation Loss : 1.35, Validation Accuracy : 0.56
Epoch : 120, Train Loss : 1.54, Train Accuracy : 0.50, Validation Loss : 1.34, Validation Accuracy : 0.57
Epoch : 121, Train Loss : 1.55, Train Accuracy : 0.50, Validation Loss : 1.34, Validation Accuracy : 0.57
Epoch : 122, Train Loss : 1.53, Train Accuracy : 0.51, Validation Loss : 1.33, Validation Accuracy : 0.58
Epoch : 123, Train Loss : 1.53, Train Accuracy : 0.50, Validation Loss : 1.33, Validation Accuracy : 0.57
Epoch : 124, Train Loss : 1.52, Train Accuracy : 0.50, Validation Loss : 1.34, Validation Accuracy : 0.57
Epoch : 125, Train Loss : 1.53, Train Accuracy : 0.51, Validation Loss : 1.32, Validation Accuracy : 0.57
Epoch : 126, Train Loss : 1.51, Train Accuracy : 0.51, Validation Loss : 1.31, Validation Accuracy : 0.57
Epoch : 127, Train Loss : 1.51, Train Accuracy : 0.52, Validation Loss : 1.31, Validation Accuracy : 0.58
Epoch : 128, Train Loss : 1.51, Train Accuracy : 0.51, Validation Loss : 1.31, Validation Accuracy : 0.58
Epoch : 129, Train Loss : 1.51, Train Accuracy : 0.51, Validation Loss : 1.32, Validation Accuracy : 0.58
Epoch : 130, Train Loss : 1.50, Train Accuracy : 0.52, Validation Loss : 1.30, Validation Accuracy : 0.58
Epoch : 131, Train Loss : 1.50, Train Accuracy : 0.51, Validation Loss : 1.30, Validation Accuracy : 0.58
Epoch : 132, Train Loss : 1.49, Train Accuracy : 0.52, Validation Loss : 1.30, Validation Accuracy : 0.59
Epoch : 133, Train Loss : 1.48, Train Accuracy : 0.52, Validation Loss : 1.30, Validation Accuracy : 0.59
Epoch : 134, Train Loss : 1.49, Train Accuracy : 0.52, Validation Loss : 1.29, Validation Accuracy : 0.58
Epoch : 135, Train Loss : 1.51, Train Accuracy : 0.52, Validation Loss : 1.29, Validation Accuracy : 0.58
Epoch : 136, Train Loss : 1.48, Train Accuracy : 0.52, Validation Loss : 1.28, Validation Accuracy : 0.59
Epoch : 137, Train Loss : 1.48, Train Accuracy : 0.52, Validation Loss : 1.27, Validation Accuracy : 0.59
Epoch : 138, Train Loss : 1.49, Train Accuracy : 0.52, Validation Loss : 1.28, Validation Accuracy : 0.59
Epoch : 139, Train Loss : 1.50, Train Accuracy : 0.52, Validation Loss : 1.28, Validation Accuracy : 0.60
Epoch : 140, Train Loss : 1.48, Train Accuracy : 0.52, Validation Loss : 1.28, Validation Accuracy : 0.60
Epoch : 141, Train Loss : 1.49, Train Accuracy : 0.52, Validation Loss : 1.27, Validation Accuracy : 0.60
Epoch : 142, Train Loss : 1.48, Train Accuracy : 0.53, Validation Loss : 1.29, Validation Accuracy : 0.60
Epoch : 143, Train Loss : 1.47, Train Accuracy : 0.53, Validation Loss : 1.26, Validation Accuracy : 0.60
Epoch : 144, Train Loss : 1.46, Train Accuracy : 0.53, Validation Loss : 1.26, Validation Accuracy : 0.60
Epoch : 145, Train Loss : 1.48, Train Accuracy : 0.52, Validation Loss : 1.25, Validation Accuracy : 0.59
Epoch : 146, Train Loss : 1.47, Train Accuracy : 0.53, Validation Loss : 1.25, Validation Accuracy : 0.60
Epoch : 147, Train Loss : 1.47, Train Accuracy : 0.53, Validation Loss : 1.25, Validation Accuracy : 0.60
Epoch : 148, Train Loss : 1.46, Train Accuracy : 0.53, Validation Loss : 1.25, Validation Accuracy : 0.61
Epoch : 149, Train Loss : 1.46, Train Accuracy : 0.53, Validation Loss : 1.26, Validation Accuracy : 0.60
Epoch : 150, Train Loss : 1.45, Train Accuracy : 0.53, Validation Loss : 1.25, Validation Accuracy : 0.60
Epoch : 151, Train Loss : 1.44, Train Accuracy : 0.54, Validation Loss : 1.24, Validation Accuracy : 0.61
Epoch : 152, Train Loss : 1.45, Train Accuracy : 0.53, Validation Loss : 1.26, Validation Accuracy : 0.61
Epoch : 153, Train Loss : 1.43, Train Accuracy : 0.54, Validation Loss : 1.26, Validation Accuracy : 0.60
Epoch : 154, Train Loss : 1.44, Train Accuracy : 0.54, Validation Loss : 1.24, Validation Accuracy : 0.61
Epoch : 155, Train Loss : 1.43, Train Accuracy : 0.54, Validation Loss : 1.24, Validation Accuracy : 0.61
Epoch : 156, Train Loss : 1.45, Train Accuracy : 0.54, Validation Loss : 1.24, Validation Accuracy : 0.61
Epoch : 157, Train Loss : 1.45, Train Accuracy : 0.53, Validation Loss : 1.24, Validation Accuracy : 0.62
Epoch : 158, Train Loss : 1.43, Train Accuracy : 0.54, Validation Loss : 1.23, Validation Accuracy : 0.62
Epoch : 159, Train Loss : 1.44, Train Accuracy : 0.54, Validation Loss : 1.23, Validation Accuracy : 0.61
Epoch : 160, Train Loss : 1.42, Train Accuracy : 0.55, Validation Loss : 1.23, Validation Accuracy : 0.60
Epoch : 161, Train Loss : 1.42, Train Accuracy : 0.55, Validation Loss : 1.22, Validation Accuracy : 0.62
Epoch : 162, Train Loss : 1.44, Train Accuracy : 0.54, Validation Loss : 1.22, Validation Accuracy : 0.63
Epoch : 163, Train Loss : 1.43, Train Accuracy : 0.54, Validation Loss : 1.22, Validation Accuracy : 0.62
Epoch : 164, Train Loss : 1.42, Train Accuracy : 0.54, Validation Loss : 1.21, Validation Accuracy : 0.62
Epoch : 165, Train Loss : 1.42, Train Accuracy : 0.54, Validation Loss : 1.23, Validation Accuracy : 0.61
Epoch : 166, Train Loss : 1.42, Train Accuracy : 0.55, Validation Loss : 1.21, Validation Accuracy : 0.62
Epoch : 167, Train Loss : 1.42, Train Accuracy : 0.55, Validation Loss : 1.21, Validation Accuracy : 0.62
Epoch : 168, Train Loss : 1.40, Train Accuracy : 0.55, Validation Loss : 1.21, Validation Accuracy : 0.63
Epoch : 169, Train Loss : 1.40, Train Accuracy : 0.55, Validation Loss : 1.20, Validation Accuracy : 0.63
Epoch : 170, Train Loss : 1.41, Train Accuracy : 0.55, Validation Loss : 1.20, Validation Accuracy : 0.62
Epoch : 171, Train Loss : 1.39, Train Accuracy : 0.55, Validation Loss : 1.20, Validation Accuracy : 0.63
Epoch : 172, Train Loss : 1.40, Train Accuracy : 0.55, Validation Loss : 1.20, Validation Accuracy : 0.63
Epoch : 173, Train Loss : 1.41, Train Accuracy : 0.54, Validation Loss : 1.21, Validation Accuracy : 0.63
Epoch : 174, Train Loss : 1.40, Train Accuracy : 0.55, Validation Loss : 1.20, Validation Accuracy : 0.63
Epoch : 175, Train Loss : 1.40, Train Accuracy : 0.55, Validation Loss : 1.20, Validation Accuracy : 0.63
Epoch : 176, Train Loss : 1.41, Train Accuracy : 0.56, Validation Loss : 1.20, Validation Accuracy : 0.62
Epoch : 177, Train Loss : 1.39, Train Accuracy : 0.55, Validation Loss : 1.18, Validation Accuracy : 0.63
Epoch : 178, Train Loss : 1.39, Train Accuracy : 0.55, Validation Loss : 1.19, Validation Accuracy : 0.63
Epoch : 179, Train Loss : 1.39, Train Accuracy : 0.56, Validation Loss : 1.19, Validation Accuracy : 0.63
Epoch : 180, Train Loss : 1.40, Train Accuracy : 0.56, Validation Loss : 1.18, Validation Accuracy : 0.63
Epoch : 181, Train Loss : 1.39, Train Accuracy : 0.55, Validation Loss : 1.18, Validation Accuracy : 0.64
Epoch : 182, Train Loss : 1.40, Train Accuracy : 0.55, Validation Loss : 1.18, Validation Accuracy : 0.64
Epoch : 183, Train Loss : 1.39, Train Accuracy : 0.56, Validation Loss : 1.18, Validation Accuracy : 0.63
Epoch : 184, Train Loss : 1.38, Train Accuracy : 0.55, Validation Loss : 1.18, Validation Accuracy : 0.64
Epoch : 185, Train Loss : 1.37, Train Accuracy : 0.56, Validation Loss : 1.19, Validation Accuracy : 0.63
Epoch : 186, Train Loss : 1.38, Train Accuracy : 0.56, Validation Loss : 1.16, Validation Accuracy : 0.64
Epoch : 187, Train Loss : 1.38, Train Accuracy : 0.56, Validation Loss : 1.17, Validation Accuracy : 0.64
Epoch : 188, Train Loss : 1.36, Train Accuracy : 0.56, Validation Loss : 1.17, Validation Accuracy : 0.64
Epoch : 189, Train Loss : 1.38, Train Accuracy : 0.56, Validation Loss : 1.17, Validation Accuracy : 0.64
Epoch : 190, Train Loss : 1.36, Train Accuracy : 0.57, Validation Loss : 1.16, Validation Accuracy : 0.63
Epoch : 191, Train Loss : 1.37, Train Accuracy : 0.56, Validation Loss : 1.16, Validation Accuracy : 0.64
Epoch : 192, Train Loss : 1.37, Train Accuracy : 0.56, Validation Loss : 1.16, Validation Accuracy : 0.64
Epoch : 193, Train Loss : 1.37, Train Accuracy : 0.56, Validation Loss : 1.16, Validation Accuracy : 0.64
Epoch : 194, Train Loss : 1.39, Train Accuracy : 0.55, Validation Loss : 1.16, Validation Accuracy : 0.64
Epoch : 195, Train Loss : 1.37, Train Accuracy : 0.57, Validation Loss : 1.16, Validation Accuracy : 0.64
Epoch : 196, Train Loss : 1.36, Train Accuracy : 0.57, Validation Loss : 1.16, Validation Accuracy : 0.64
Epoch : 197, Train Loss : 1.37, Train Accuracy : 0.57, Validation Loss : 1.15, Validation Accuracy : 0.64
Epoch : 198, Train Loss : 1.35, Train Accuracy : 0.57, Validation Loss : 1.15, Validation Accuracy : 0.64
Epoch : 199, Train Loss : 1.37, Train Accuracy : 0.56, Validation Loss : 1.15, Validation Accuracy : 0.64
Epoch : 200, Train Loss : 1.34, Train Accuracy : 0.57, Validation Loss : 1.17, Validation Accuracy : 0.64
Epoch : 201, Train Loss : 1.37, Train Accuracy : 0.57, Validation Loss : 1.15, Validation Accuracy : 0.64
Epoch : 202, Train Loss : 1.36, Train Accuracy : 0.57, Validation Loss : 1.13, Validation Accuracy : 0.65
Epoch : 203, Train Loss : 1.35, Train Accuracy : 0.57, Validation Loss : 1.14, Validation Accuracy : 0.64
Epoch : 204, Train Loss : 1.36, Train Accuracy : 0.57, Validation Loss : 1.13, Validation Accuracy : 0.64
Epoch : 205, Train Loss : 1.35, Train Accuracy : 0.57, Validation Loss : 1.14, Validation Accuracy : 0.64
Epoch : 206, Train Loss : 1.36, Train Accuracy : 0.57, Validation Loss : 1.13, Validation Accuracy : 0.64
Epoch : 207, Train Loss : 1.35, Train Accuracy : 0.57, Validation Loss : 1.14, Validation Accuracy : 0.65
Epoch : 208, Train Loss : 1.35, Train Accuracy : 0.57, Validation Loss : 1.13, Validation Accuracy : 0.65
Epoch : 209, Train Loss : 1.34, Train Accuracy : 0.58, Validation Loss : 1.12, Validation Accuracy : 0.64
Epoch : 210, Train Loss : 1.33, Train Accuracy : 0.58, Validation Loss : 1.13, Validation Accuracy : 0.64
Epoch : 211, Train Loss : 1.33, Train Accuracy : 0.58, Validation Loss : 1.12, Validation Accuracy : 0.65
Epoch : 212, Train Loss : 1.33, Train Accuracy : 0.58, Validation Loss : 1.12, Validation Accuracy : 0.65
Epoch : 213, Train Loss : 1.32, Train Accuracy : 0.58, Validation Loss : 1.12, Validation Accuracy : 0.65
Epoch : 214, Train Loss : 1.35, Train Accuracy : 0.57, Validation Loss : 1.12, Validation Accuracy : 0.65
Epoch : 215, Train Loss : 1.34, Train Accuracy : 0.57, Validation Loss : 1.13, Validation Accuracy : 0.65
Epoch : 216, Train Loss : 1.33, Train Accuracy : 0.58, Validation Loss : 1.15, Validation Accuracy : 0.63
Epoch : 217, Train Loss : 1.33, Train Accuracy : 0.57, Validation Loss : 1.11, Validation Accuracy : 0.65
Epoch : 218, Train Loss : 1.32, Train Accuracy : 0.58, Validation Loss : 1.11, Validation Accuracy : 0.66
Epoch : 219, Train Loss : 1.31, Train Accuracy : 0.58, Validation Loss : 1.11, Validation Accuracy : 0.65
Epoch : 220, Train Loss : 1.32, Train Accuracy : 0.58, Validation Loss : 1.11, Validation Accuracy : 0.66
Epoch : 221, Train Loss : 1.33, Train Accuracy : 0.58, Validation Loss : 1.10, Validation Accuracy : 0.65
Epoch : 222, Train Loss : 1.30, Train Accuracy : 0.59, Validation Loss : 1.10, Validation Accuracy : 0.66
Epoch : 223, Train Loss : 1.31, Train Accuracy : 0.58, Validation Loss : 1.10, Validation Accuracy : 0.66
Epoch : 224, Train Loss : 1.31, Train Accuracy : 0.59, Validation Loss : 1.10, Validation Accuracy : 0.66
Epoch : 225, Train Loss : 1.32, Train Accuracy : 0.58, Validation Loss : 1.11, Validation Accuracy : 0.66
Epoch : 226, Train Loss : 1.31, Train Accuracy : 0.58, Validation Loss : 1.10, Validation Accuracy : 0.66
Epoch : 227, Train Loss : 1.32, Train Accuracy : 0.58, Validation Loss : 1.10, Validation Accuracy : 0.65
Epoch : 228, Train Loss : 1.31, Train Accuracy : 0.59, Validation Loss : 1.09, Validation Accuracy : 0.66
Epoch : 229, Train Loss : 1.31, Train Accuracy : 0.58, Validation Loss : 1.09, Validation Accuracy : 0.66
Epoch : 230, Train Loss : 1.30, Train Accuracy : 0.59, Validation Loss : 1.09, Validation Accuracy : 0.65
Epoch : 231, Train Loss : 1.31, Train Accuracy : 0.58, Validation Loss : 1.09, Validation Accuracy : 0.65
Epoch : 232, Train Loss : 1.30, Train Accuracy : 0.59, Validation Loss : 1.08, Validation Accuracy : 0.66
Epoch : 233, Train Loss : 1.30, Train Accuracy : 0.58, Validation Loss : 1.09, Validation Accuracy : 0.66
Epoch : 234, Train Loss : 1.31, Train Accuracy : 0.58, Validation Loss : 1.09, Validation Accuracy : 0.65
Epoch : 235, Train Loss : 1.30, Train Accuracy : 0.59, Validation Loss : 1.10, Validation Accuracy : 0.65
Epoch : 236, Train Loss : 1.31, Train Accuracy : 0.59, Validation Loss : 1.09, Validation Accuracy : 0.66
Epoch : 237, Train Loss : 1.29, Train Accuracy : 0.59, Validation Loss : 1.08, Validation Accuracy : 0.65
Epoch : 238, Train Loss : 1.31, Train Accuracy : 0.58, Validation Loss : 1.09, Validation Accuracy : 0.66
Epoch : 239, Train Loss : 1.28, Train Accuracy : 0.59, Validation Loss : 1.09, Validation Accuracy : 0.65
Epoch : 240, Train Loss : 1.30, Train Accuracy : 0.59, Validation Loss : 1.08, Validation Accuracy : 0.66
Epoch : 241, Train Loss : 1.28, Train Accuracy : 0.59, Validation Loss : 1.08, Validation Accuracy : 0.66
Epoch : 242, Train Loss : 1.29, Train Accuracy : 0.59, Validation Loss : 1.08, Validation Accuracy : 0.66
Epoch : 243, Train Loss : 1.28, Train Accuracy : 0.59, Validation Loss : 1.07, Validation Accuracy : 0.67
Epoch : 244, Train Loss : 1.29, Train Accuracy : 0.59, Validation Loss : 1.09, Validation Accuracy : 0.66
Epoch : 245, Train Loss : 1.28, Train Accuracy : 0.59, Validation Loss : 1.07, Validation Accuracy : 0.66
Epoch : 246, Train Loss : 1.28, Train Accuracy : 0.60, Validation Loss : 1.08, Validation Accuracy : 0.66
Epoch : 247, Train Loss : 1.29, Train Accuracy : 0.59, Validation Loss : 1.06, Validation Accuracy : 0.67
Epoch : 248, Train Loss : 1.27, Train Accuracy : 0.60, Validation Loss : 1.07, Validation Accuracy : 0.67
Epoch : 249, Train Loss : 1.28, Train Accuracy : 0.59, Validation Loss : 1.07, Validation Accuracy : 0.65
Epoch : 250, Train Loss : 1.26, Train Accuracy : 0.60, Validation Loss : 1.06, Validation Accuracy : 0.66
Epoch : 251, Train Loss : 1.28, Train Accuracy : 0.60, Validation Loss : 1.05, Validation Accuracy : 0.67
Epoch : 252, Train Loss : 1.26, Train Accuracy : 0.60, Validation Loss : 1.06, Validation Accuracy : 0.68
Epoch : 253, Train Loss : 1.28, Train Accuracy : 0.59, Validation Loss : 1.08, Validation Accuracy : 0.67
Epoch : 254, Train Loss : 1.28, Train Accuracy : 0.59, Validation Loss : 1.07, Validation Accuracy : 0.66
Epoch : 255, Train Loss : 1.27, Train Accuracy : 0.60, Validation Loss : 1.05, Validation Accuracy : 0.67
Epoch : 256, Train Loss : 1.25, Train Accuracy : 0.60, Validation Loss : 1.05, Validation Accuracy : 0.67
Epoch : 257, Train Loss : 1.26, Train Accuracy : 0.60, Validation Loss : 1.05, Validation Accuracy : 0.67
Epoch : 258, Train Loss : 1.27, Train Accuracy : 0.59, Validation Loss : 1.05, Validation Accuracy : 0.67
Epoch : 259, Train Loss : 1.28, Train Accuracy : 0.59, Validation Loss : 1.05, Validation Accuracy : 0.67
Epoch : 260, Train Loss : 1.27, Train Accuracy : 0.60, Validation Loss : 1.05, Validation Accuracy : 0.66
Epoch : 261, Train Loss : 1.25, Train Accuracy : 0.61, Validation Loss : 1.05, Validation Accuracy : 0.67
Epoch : 262, Train Loss : 1.25, Train Accuracy : 0.60, Validation Loss : 1.05, Validation Accuracy : 0.67
Epoch : 263, Train Loss : 1.26, Train Accuracy : 0.60, Validation Loss : 1.04, Validation Accuracy : 0.67
Epoch : 264, Train Loss : 1.25, Train Accuracy : 0.60, Validation Loss : 1.04, Validation Accuracy : 0.67
Epoch : 265, Train Loss : 1.27, Train Accuracy : 0.60, Validation Loss : 1.03, Validation Accuracy : 0.68
Epoch : 266, Train Loss : 1.25, Train Accuracy : 0.60, Validation Loss : 1.04, Validation Accuracy : 0.68
Epoch : 267, Train Loss : 1.26, Train Accuracy : 0.60, Validation Loss : 1.04, Validation Accuracy : 0.68
Epoch : 268, Train Loss : 1.24, Train Accuracy : 0.61, Validation Loss : 1.03, Validation Accuracy : 0.68
Epoch : 269, Train Loss : 1.26, Train Accuracy : 0.61, Validation Loss : 1.05, Validation Accuracy : 0.67
Epoch : 270, Train Loss : 1.24, Train Accuracy : 0.61, Validation Loss : 1.03, Validation Accuracy : 0.68
Epoch : 271, Train Loss : 1.26, Train Accuracy : 0.60, Validation Loss : 1.03, Validation Accuracy : 0.67
Epoch : 272, Train Loss : 1.24, Train Accuracy : 0.61, Validation Loss : 1.03, Validation Accuracy : 0.67
Epoch : 273, Train Loss : 1.26, Train Accuracy : 0.60, Validation Loss : 1.02, Validation Accuracy : 0.68
Epoch : 274, Train Loss : 1.25, Train Accuracy : 0.60, Validation Loss : 1.04, Validation Accuracy : 0.67
Epoch : 275, Train Loss : 1.26, Train Accuracy : 0.60, Validation Loss : 1.03, Validation Accuracy : 0.68
Epoch : 276, Train Loss : 1.24, Train Accuracy : 0.60, Validation Loss : 1.03, Validation Accuracy : 0.68
Epoch : 277, Train Loss : 1.24, Train Accuracy : 0.60, Validation Loss : 1.03, Validation Accuracy : 0.68
Epoch : 278, Train Loss : 1.22, Train Accuracy : 0.62, Validation Loss : 1.02, Validation Accuracy : 0.68
Epoch : 279, Train Loss : 1.23, Train Accuracy : 0.61, Validation Loss : 1.05, Validation Accuracy : 0.67
Epoch : 280, Train Loss : 1.24, Train Accuracy : 0.61, Validation Loss : 1.01, Validation Accuracy : 0.69
Epoch : 281, Train Loss : 1.21, Train Accuracy : 0.62, Validation Loss : 1.01, Validation Accuracy : 0.69
Epoch : 282, Train Loss : 1.23, Train Accuracy : 0.61, Validation Loss : 1.01, Validation Accuracy : 0.68
Epoch : 283, Train Loss : 1.23, Train Accuracy : 0.61, Validation Loss : 1.00, Validation Accuracy : 0.69
Epoch : 284, Train Loss : 1.22, Train Accuracy : 0.62, Validation Loss : 1.00, Validation Accuracy : 0.69
Epoch : 285, Train Loss : 1.23, Train Accuracy : 0.61, Validation Loss : 1.00, Validation Accuracy : 0.69
Epoch : 286, Train Loss : 1.22, Train Accuracy : 0.62, Validation Loss : 1.00, Validation Accuracy : 0.69
Epoch : 287, Train Loss : 1.22, Train Accuracy : 0.62, Validation Loss : 1.01, Validation Accuracy : 0.69
Epoch : 288, Train Loss : 1.24, Train Accuracy : 0.61, Validation Loss : 1.00, Validation Accuracy : 0.68
Epoch : 289, Train Loss : 1.21, Train Accuracy : 0.61, Validation Loss : 1.01, Validation Accuracy : 0.68
Epoch : 290, Train Loss : 1.21, Train Accuracy : 0.62, Validation Loss : 0.99, Validation Accuracy : 0.69
Epoch : 291, Train Loss : 1.23, Train Accuracy : 0.61, Validation Loss : 1.00, Validation Accuracy : 0.70
Epoch : 292, Train Loss : 1.22, Train Accuracy : 0.62, Validation Loss : 0.99, Validation Accuracy : 0.69
Epoch : 293, Train Loss : 1.20, Train Accuracy : 0.62, Validation Loss : 1.00, Validation Accuracy : 0.69
Epoch : 294, Train Loss : 1.22, Train Accuracy : 0.61, Validation Loss : 0.99, Validation Accuracy : 0.69
Epoch : 295, Train Loss : 1.21, Train Accuracy : 0.62, Validation Loss : 0.98, Validation Accuracy : 0.69
Epoch : 296, Train Loss : 1.20, Train Accuracy : 0.62, Validation Loss : 0.99, Validation Accuracy : 0.69
Epoch : 297, Train Loss : 1.21, Train Accuracy : 0.61, Validation Loss : 0.98, Validation Accuracy : 0.69
Epoch : 298, Train Loss : 1.22, Train Accuracy : 0.61, Validation Loss : 0.98, Validation Accuracy : 0.70
Epoch : 299, Train Loss : 1.20, Train Accuracy : 0.62, Validation Loss : 0.98, Validation Accuracy : 0.69
Epoch : 300, Train Loss : 1.20, Train Accuracy : 0.62, Validation Loss : 0.97, Validation Accuracy : 0.69
Epoch : 301, Train Loss : 1.21, Train Accuracy : 0.62, Validation Loss : 0.98, Validation Accuracy : 0.70
Epoch : 302, Train Loss : 1.20, Train Accuracy : 0.62, Validation Loss : 1.01, Validation Accuracy : 0.69
Epoch : 303, Train Loss : 1.21, Train Accuracy : 0.61, Validation Loss : 0.97, Validation Accuracy : 0.70
Epoch : 304, Train Loss : 1.20, Train Accuracy : 0.62, Validation Loss : 0.98, Validation Accuracy : 0.69
Epoch : 305, Train Loss : 1.21, Train Accuracy : 0.61, Validation Loss : 0.99, Validation Accuracy : 0.69
Epoch : 306, Train Loss : 1.20, Train Accuracy : 0.62, Validation Loss : 0.96, Validation Accuracy : 0.70
Epoch : 307, Train Loss : 1.20, Train Accuracy : 0.62, Validation Loss : 0.97, Validation Accuracy : 0.70
Epoch : 308, Train Loss : 1.20, Train Accuracy : 0.62, Validation Loss : 0.97, Validation Accuracy : 0.70
Epoch : 309, Train Loss : 1.18, Train Accuracy : 0.63, Validation Loss : 0.97, Validation Accuracy : 0.70
Epoch : 310, Train Loss : 1.19, Train Accuracy : 0.62, Validation Loss : 0.98, Validation Accuracy : 0.70
Epoch : 311, Train Loss : 1.19, Train Accuracy : 0.63, Validation Loss : 0.96, Validation Accuracy : 0.71
Epoch : 312, Train Loss : 1.20, Train Accuracy : 0.62, Validation Loss : 0.96, Validation Accuracy : 0.70
Epoch : 313, Train Loss : 1.19, Train Accuracy : 0.62, Validation Loss : 0.97, Validation Accuracy : 0.70
Epoch : 314, Train Loss : 1.19, Train Accuracy : 0.62, Validation Loss : 0.98, Validation Accuracy : 0.70
Epoch : 315, Train Loss : 1.19, Train Accuracy : 0.62, Validation Loss : 0.97, Validation Accuracy : 0.70
Epoch : 316, Train Loss : 1.19, Train Accuracy : 0.62, Validation Loss : 0.99, Validation Accuracy : 0.69
Epoch : 317, Train Loss : 1.17, Train Accuracy : 0.63, Validation Loss : 0.97, Validation Accuracy : 0.70
Epoch : 318, Train Loss : 1.17, Train Accuracy : 0.64, Validation Loss : 0.98, Validation Accuracy : 0.69
Epoch : 319, Train Loss : 1.19, Train Accuracy : 0.62, Validation Loss : 0.95, Validation Accuracy : 0.70
Epoch : 320, Train Loss : 1.18, Train Accuracy : 0.62, Validation Loss : 0.96, Validation Accuracy : 0.70
Epoch : 321, Train Loss : 1.18, Train Accuracy : 0.63, Validation Loss : 0.96, Validation Accuracy : 0.70
Epoch : 322, Train Loss : 1.19, Train Accuracy : 0.62, Validation Loss : 0.95, Validation Accuracy : 0.70
Epoch : 323, Train Loss : 1.20, Train Accuracy : 0.62, Validation Loss : 0.95, Validation Accuracy : 0.70
Epoch : 324, Train Loss : 1.17, Train Accuracy : 0.63, Validation Loss : 0.95, Validation Accuracy : 0.71
Epoch : 325, Train Loss : 1.16, Train Accuracy : 0.64, Validation Loss : 0.95, Validation Accuracy : 0.71
Epoch : 326, Train Loss : 1.17, Train Accuracy : 0.63, Validation Loss : 0.93, Validation Accuracy : 0.72
Epoch : 327, Train Loss : 1.19, Train Accuracy : 0.62, Validation Loss : 0.98, Validation Accuracy : 0.70
Epoch : 328, Train Loss : 1.15, Train Accuracy : 0.64, Validation Loss : 0.94, Validation Accuracy : 0.71
Epoch : 329, Train Loss : 1.18, Train Accuracy : 0.63, Validation Loss : 0.94, Validation Accuracy : 0.71
Epoch : 330, Train Loss : 1.17, Train Accuracy : 0.63, Validation Loss : 0.98, Validation Accuracy : 0.69
Epoch : 331, Train Loss : 1.17, Train Accuracy : 0.63, Validation Loss : 0.93, Validation Accuracy : 0.71
Epoch : 332, Train Loss : 1.16, Train Accuracy : 0.64, Validation Loss : 0.95, Validation Accuracy : 0.70
Epoch : 333, Train Loss : 1.16, Train Accuracy : 0.63, Validation Loss : 0.95, Validation Accuracy : 0.71
Epoch : 334, Train Loss : 1.18, Train Accuracy : 0.63, Validation Loss : 0.93, Validation Accuracy : 0.71
Epoch : 335, Train Loss : 1.16, Train Accuracy : 0.63, Validation Loss : 0.94, Validation Accuracy : 0.71
Epoch : 336, Train Loss : 1.16, Train Accuracy : 0.63, Validation Loss : 0.93, Validation Accuracy : 0.72
Epoch : 337, Train Loss : 1.16, Train Accuracy : 0.63, Validation Loss : 0.93, Validation Accuracy : 0.71
Epoch : 338, Train Loss : 1.16, Train Accuracy : 0.63, Validation Loss : 0.94, Validation Accuracy : 0.71
Epoch : 339, Train Loss : 1.16, Train Accuracy : 0.63, Validation Loss : 0.97, Validation Accuracy : 0.70
Epoch : 340, Train Loss : 1.15, Train Accuracy : 0.64, Validation Loss : 0.94, Validation Accuracy : 0.71
Epoch : 341, Train Loss : 1.14, Train Accuracy : 0.64, Validation Loss : 0.94, Validation Accuracy : 0.72
Epoch : 342, Train Loss : 1.14, Train Accuracy : 0.63, Validation Loss : 0.95, Validation Accuracy : 0.70
Epoch : 343, Train Loss : 1.16, Train Accuracy : 0.64, Validation Loss : 0.95, Validation Accuracy : 0.72
Epoch : 344, Train Loss : 1.14, Train Accuracy : 0.63, Validation Loss : 0.93, Validation Accuracy : 0.71
Epoch : 345, Train Loss : 1.13, Train Accuracy : 0.64, Validation Loss : 0.95, Validation Accuracy : 0.69
Epoch : 346, Train Loss : 1.14, Train Accuracy : 0.64, Validation Loss : 0.93, Validation Accuracy : 0.71
Epoch : 347, Train Loss : 1.14, Train Accuracy : 0.64, Validation Loss : 0.92, Validation Accuracy : 0.72
Epoch : 348, Train Loss : 1.15, Train Accuracy : 0.64, Validation Loss : 0.92, Validation Accuracy : 0.71
Epoch : 349, Train Loss : 1.16, Train Accuracy : 0.64, Validation Loss : 0.93, Validation Accuracy : 0.72
Epoch : 350, Train Loss : 1.14, Train Accuracy : 0.64, Validation Loss : 0.93, Validation Accuracy : 0.71
Epoch : 351, Train Loss : 1.14, Train Accuracy : 0.63, Validation Loss : 0.94, Validation Accuracy : 0.70
Epoch : 352, Train Loss : 1.15, Train Accuracy : 0.63, Validation Loss : 0.91, Validation Accuracy : 0.72
Epoch : 353, Train Loss : 1.15, Train Accuracy : 0.64, Validation Loss : 0.91, Validation Accuracy : 0.72
Epoch : 354, Train Loss : 1.14, Train Accuracy : 0.64, Validation Loss : 0.93, Validation Accuracy : 0.72
Epoch : 355, Train Loss : 1.13, Train Accuracy : 0.64, Validation Loss : 0.91, Validation Accuracy : 0.71
Epoch : 356, Train Loss : 1.13, Train Accuracy : 0.65, Validation Loss : 0.91, Validation Accuracy : 0.70
Epoch : 357, Train Loss : 1.14, Train Accuracy : 0.64, Validation Loss : 0.91, Validation Accuracy : 0.73
Epoch : 358, Train Loss : 1.13, Train Accuracy : 0.64, Validation Loss : 0.92, Validation Accuracy : 0.72
Epoch : 359, Train Loss : 1.14, Train Accuracy : 0.64, Validation Loss : 0.91, Validation Accuracy : 0.71
Epoch : 360, Train Loss : 1.13, Train Accuracy : 0.64, Validation Loss : 0.91, Validation Accuracy : 0.73
Epoch : 361, Train Loss : 1.12, Train Accuracy : 0.64, Validation Loss : 0.91, Validation Accuracy : 0.72
Epoch : 362, Train Loss : 1.13, Train Accuracy : 0.64, Validation Loss : 0.92, Validation Accuracy : 0.71
Epoch : 363, Train Loss : 1.14, Train Accuracy : 0.64, Validation Loss : 0.92, Validation Accuracy : 0.72
Epoch : 364, Train Loss : 1.13, Train Accuracy : 0.64, Validation Loss : 0.90, Validation Accuracy : 0.72
Epoch : 365, Train Loss : 1.12, Train Accuracy : 0.65, Validation Loss : 0.91, Validation Accuracy : 0.72
Epoch : 366, Train Loss : 1.11, Train Accuracy : 0.65, Validation Loss : 0.89, Validation Accuracy : 0.73
Epoch : 367, Train Loss : 1.11, Train Accuracy : 0.65, Validation Loss : 0.89, Validation Accuracy : 0.73
Epoch : 368, Train Loss : 1.12, Train Accuracy : 0.64, Validation Loss : 0.94, Validation Accuracy : 0.71
Epoch : 369, Train Loss : 1.11, Train Accuracy : 0.65, Validation Loss : 0.88, Validation Accuracy : 0.73
Epoch : 370, Train Loss : 1.12, Train Accuracy : 0.65, Validation Loss : 0.91, Validation Accuracy : 0.73
Epoch : 371, Train Loss : 1.13, Train Accuracy : 0.64, Validation Loss : 0.89, Validation Accuracy : 0.73
Epoch : 372, Train Loss : 1.12, Train Accuracy : 0.65, Validation Loss : 0.90, Validation Accuracy : 0.73
Epoch : 373, Train Loss : 1.11, Train Accuracy : 0.65, Validation Loss : 0.90, Validation Accuracy : 0.72
Epoch : 374, Train Loss : 1.10, Train Accuracy : 0.65, Validation Loss : 0.92, Validation Accuracy : 0.71
Epoch : 375, Train Loss : 1.12, Train Accuracy : 0.65, Validation Loss : 0.90, Validation Accuracy : 0.72
Epoch : 376, Train Loss : 1.11, Train Accuracy : 0.65, Validation Loss : 0.89, Validation Accuracy : 0.72
Epoch : 377, Train Loss : 1.11, Train Accuracy : 0.64, Validation Loss : 0.92, Validation Accuracy : 0.71
Epoch : 378, Train Loss : 1.11, Train Accuracy : 0.65, Validation Loss : 0.92, Validation Accuracy : 0.71
Epoch : 379, Train Loss : 1.12, Train Accuracy : 0.65, Validation Loss : 0.90, Validation Accuracy : 0.72
Epoch : 380, Train Loss : 1.11, Train Accuracy : 0.65, Validation Loss : 0.89, Validation Accuracy : 0.73
Epoch : 381, Train Loss : 1.11, Train Accuracy : 0.65, Validation Loss : 0.91, Validation Accuracy : 0.72
Epoch : 382, Train Loss : 1.10, Train Accuracy : 0.65, Validation Loss : 0.88, Validation Accuracy : 0.73
Epoch : 383, Train Loss : 1.10, Train Accuracy : 0.66, Validation Loss : 0.88, Validation Accuracy : 0.73
Epoch : 384, Train Loss : 1.12, Train Accuracy : 0.65, Validation Loss : 0.88, Validation Accuracy : 0.73
Epoch : 385, Train Loss : 1.12, Train Accuracy : 0.65, Validation Loss : 0.99, Validation Accuracy : 0.69
Epoch : 386, Train Loss : 1.11, Train Accuracy : 0.65, Validation Loss : 0.88, Validation Accuracy : 0.73
Epoch : 387, Train Loss : 1.09, Train Accuracy : 0.65, Validation Loss : 0.88, Validation Accuracy : 0.73
Epoch : 388, Train Loss : 1.11, Train Accuracy : 0.65, Validation Loss : 0.89, Validation Accuracy : 0.73
Epoch : 389, Train Loss : 1.13, Train Accuracy : 0.64, Validation Loss : 0.88, Validation Accuracy : 0.73
Epoch : 390, Train Loss : 1.08, Train Accuracy : 0.66, Validation Loss : 0.88, Validation Accuracy : 0.72
Epoch : 391, Train Loss : 1.09, Train Accuracy : 0.65, Validation Loss : 0.87, Validation Accuracy : 0.74
Epoch : 392, Train Loss : 1.10, Train Accuracy : 0.65, Validation Loss : 0.87, Validation Accuracy : 0.74
Epoch : 393, Train Loss : 1.08, Train Accuracy : 0.66, Validation Loss : 0.87, Validation Accuracy : 0.73
Epoch : 394, Train Loss : 1.09, Train Accuracy : 0.66, Validation Loss : 0.87, Validation Accuracy : 0.73
Epoch : 395, Train Loss : 1.11, Train Accuracy : 0.65, Validation Loss : 0.89, Validation Accuracy : 0.73
Epoch : 396, Train Loss : 1.10, Train Accuracy : 0.66, Validation Loss : 0.87, Validation Accuracy : 0.73
Epoch : 397, Train Loss : 1.09, Train Accuracy : 0.65, Validation Loss : 0.90, Validation Accuracy : 0.73
Epoch : 398, Train Loss : 1.07, Train Accuracy : 0.67, Validation Loss : 0.87, Validation Accuracy : 0.73
Epoch : 399, Train Loss : 1.08, Train Accuracy : 0.66, Validation Loss : 0.87, Validation Accuracy : 0.73
Epoch : 400, Train Loss : 1.09, Train Accuracy : 0.65, Validation Loss : 0.85, Validation Accuracy : 0.74
Epoch : 401, Train Loss : 1.09, Train Accuracy : 0.66, Validation Loss : 0.87, Validation Accuracy : 0.74
Epoch : 402, Train Loss : 1.08, Train Accuracy : 0.66, Validation Loss : 0.87, Validation Accuracy : 0.74
Epoch : 403, Train Loss : 1.08, Train Accuracy : 0.66, Validation Loss : 0.88, Validation Accuracy : 0.74
Epoch : 404, Train Loss : 1.10, Train Accuracy : 0.65, Validation Loss : 0.86, Validation Accuracy : 0.73
Epoch : 405, Train Loss : 1.09, Train Accuracy : 0.65, Validation Loss : 0.86, Validation Accuracy : 0.74
Epoch : 406, Train Loss : 1.08, Train Accuracy : 0.67, Validation Loss : 0.86, Validation Accuracy : 0.74
Epoch : 407, Train Loss : 1.09, Train Accuracy : 0.66, Validation Loss : 0.88, Validation Accuracy : 0.74
Epoch : 408, Train Loss : 1.08, Train Accuracy : 0.66, Validation Loss : 0.86, Validation Accuracy : 0.74
Epoch : 409, Train Loss : 1.08, Train Accuracy : 0.66, Validation Loss : 0.88, Validation Accuracy : 0.74
Epoch : 410, Train Loss : 1.07, Train Accuracy : 0.66, Validation Loss : 0.86, Validation Accuracy : 0.73
Epoch : 411, Train Loss : 1.08, Train Accuracy : 0.66, Validation Loss : 0.85, Validation Accuracy : 0.75
Epoch : 412, Train Loss : 1.07, Train Accuracy : 0.66, Validation Loss : 0.86, Validation Accuracy : 0.74
Epoch : 413, Train Loss : 1.09, Train Accuracy : 0.66, Validation Loss : 0.86, Validation Accuracy : 0.73
Epoch : 414, Train Loss : 1.09, Train Accuracy : 0.66, Validation Loss : 0.86, Validation Accuracy : 0.72
Epoch : 415, Train Loss : 1.09, Train Accuracy : 0.65, Validation Loss : 0.89, Validation Accuracy : 0.73
Epoch : 416, Train Loss : 1.08, Train Accuracy : 0.66, Validation Loss : 0.85, Validation Accuracy : 0.75
Epoch : 417, Train Loss : 1.08, Train Accuracy : 0.66, Validation Loss : 0.87, Validation Accuracy : 0.73
Epoch : 418, Train Loss : 1.08, Train Accuracy : 0.66, Validation Loss : 0.87, Validation Accuracy : 0.73
Epoch : 419, Train Loss : 1.07, Train Accuracy : 0.66, Validation Loss : 0.86, Validation Accuracy : 0.73
Epoch : 420, Train Loss : 1.08, Train Accuracy : 0.65, Validation Loss : 0.85, Validation Accuracy : 0.74
Epoch : 421, Train Loss : 1.04, Train Accuracy : 0.67, Validation Loss : 0.93, Validation Accuracy : 0.71
Epoch : 422, Train Loss : 1.08, Train Accuracy : 0.66, Validation Loss : 0.84, Validation Accuracy : 0.74
Epoch : 423, Train Loss : 1.07, Train Accuracy : 0.66, Validation Loss : 0.85, Validation Accuracy : 0.73
Epoch : 424, Train Loss : 1.06, Train Accuracy : 0.67, Validation Loss : 0.87, Validation Accuracy : 0.74
Epoch : 425, Train Loss : 1.06, Train Accuracy : 0.66, Validation Loss : 0.84, Validation Accuracy : 0.74
Epoch : 426, Train Loss : 1.06, Train Accuracy : 0.66, Validation Loss : 0.84, Validation Accuracy : 0.74
Epoch : 427, Train Loss : 1.05, Train Accuracy : 0.67, Validation Loss : 0.83, Validation Accuracy : 0.74
Epoch : 428, Train Loss : 1.05, Train Accuracy : 0.67, Validation Loss : 0.84, Validation Accuracy : 0.74
Epoch : 429, Train Loss : 1.08, Train Accuracy : 0.65, Validation Loss : 0.85, Validation Accuracy : 0.75
Epoch : 430, Train Loss : 1.06, Train Accuracy : 0.66, Validation Loss : 0.83, Validation Accuracy : 0.74
Epoch : 431, Train Loss : 1.05, Train Accuracy : 0.67, Validation Loss : 0.85, Validation Accuracy : 0.73
Epoch : 432, Train Loss : 1.06, Train Accuracy : 0.67, Validation Loss : 0.82, Validation Accuracy : 0.75
Epoch : 433, Train Loss : 1.06, Train Accuracy : 0.67, Validation Loss : 0.82, Validation Accuracy : 0.75
Epoch : 434, Train Loss : 1.05, Train Accuracy : 0.67, Validation Loss : 0.84, Validation Accuracy : 0.74
Epoch : 435, Train Loss : 1.06, Train Accuracy : 0.66, Validation Loss : 0.86, Validation Accuracy : 0.73
Epoch : 436, Train Loss : 1.06, Train Accuracy : 0.67, Validation Loss : 0.85, Validation Accuracy : 0.73
Epoch : 437, Train Loss : 1.05, Train Accuracy : 0.67, Validation Loss : 0.82, Validation Accuracy : 0.75
Epoch : 438, Train Loss : 1.05, Train Accuracy : 0.66, Validation Loss : 0.84, Validation Accuracy : 0.74
Epoch : 439, Train Loss : 1.04, Train Accuracy : 0.67, Validation Loss : 0.83, Validation Accuracy : 0.75
Epoch : 440, Train Loss : 1.05, Train Accuracy : 0.67, Validation Loss : 0.82, Validation Accuracy : 0.76
Epoch : 441, Train Loss : 1.04, Train Accuracy : 0.67, Validation Loss : 0.84, Validation Accuracy : 0.74
Epoch : 442, Train Loss : 1.04, Train Accuracy : 0.68, Validation Loss : 0.83, Validation Accuracy : 0.75
Epoch : 443, Train Loss : 1.05, Train Accuracy : 0.67, Validation Loss : 0.83, Validation Accuracy : 0.75
Epoch : 444, Train Loss : 1.06, Train Accuracy : 0.67, Validation Loss : 0.83, Validation Accuracy : 0.74
Epoch : 445, Train Loss : 1.04, Train Accuracy : 0.67, Validation Loss : 0.81, Validation Accuracy : 0.75
Epoch : 446, Train Loss : 1.05, Train Accuracy : 0.67, Validation Loss : 0.86, Validation Accuracy : 0.74
Epoch : 447, Train Loss : 1.04, Train Accuracy : 0.67, Validation Loss : 0.84, Validation Accuracy : 0.74
Epoch : 448, Train Loss : 1.05, Train Accuracy : 0.67, Validation Loss : 0.81, Validation Accuracy : 0.75
Epoch : 449, Train Loss : 1.04, Train Accuracy : 0.67, Validation Loss : 0.82, Validation Accuracy : 0.75
Epoch : 450, Train Loss : 1.04, Train Accuracy : 0.67, Validation Loss : 0.83, Validation Accuracy : 0.75
Epoch : 451, Train Loss : 1.03, Train Accuracy : 0.67, Validation Loss : 0.83, Validation Accuracy : 0.74
Epoch : 452, Train Loss : 1.04, Train Accuracy : 0.67, Validation Loss : 0.83, Validation Accuracy : 0.75
Epoch : 453, Train Loss : 1.04, Train Accuracy : 0.67, Validation Loss : 0.80, Validation Accuracy : 0.75
Epoch : 454, Train Loss : 1.03, Train Accuracy : 0.68, Validation Loss : 0.91, Validation Accuracy : 0.73
Epoch : 455, Train Loss : 1.02, Train Accuracy : 0.67, Validation Loss : 0.82, Validation Accuracy : 0.75
Epoch : 456, Train Loss : 1.03, Train Accuracy : 0.68, Validation Loss : 0.83, Validation Accuracy : 0.74
Epoch : 457, Train Loss : 1.02, Train Accuracy : 0.67, Validation Loss : 0.81, Validation Accuracy : 0.76
Epoch : 458, Train Loss : 1.04, Train Accuracy : 0.67, Validation Loss : 0.83, Validation Accuracy : 0.75
Epoch : 459, Train Loss : 1.02, Train Accuracy : 0.68, Validation Loss : 0.84, Validation Accuracy : 0.75
Epoch : 460, Train Loss : 1.04, Train Accuracy : 0.68, Validation Loss : 0.84, Validation Accuracy : 0.75
Epoch : 461, Train Loss : 1.04, Train Accuracy : 0.67, Validation Loss : 0.82, Validation Accuracy : 0.76
Epoch : 462, Train Loss : 1.03, Train Accuracy : 0.68, Validation Loss : 0.81, Validation Accuracy : 0.75
Epoch : 463, Train Loss : 1.04, Train Accuracy : 0.67, Validation Loss : 0.82, Validation Accuracy : 0.75
Epoch : 464, Train Loss : 1.02, Train Accuracy : 0.68, Validation Loss : 0.81, Validation Accuracy : 0.75
Epoch : 465, Train Loss : 1.03, Train Accuracy : 0.68, Validation Loss : 0.82, Validation Accuracy : 0.74
Epoch : 466, Train Loss : 1.00, Train Accuracy : 0.68, Validation Loss : 0.83, Validation Accuracy : 0.75
Epoch : 467, Train Loss : 1.05, Train Accuracy : 0.67, Validation Loss : 0.82, Validation Accuracy : 0.75
Epoch : 468, Train Loss : 1.02, Train Accuracy : 0.68, Validation Loss : 0.79, Validation Accuracy : 0.76
Epoch : 469, Train Loss : 1.01, Train Accuracy : 0.68, Validation Loss : 0.79, Validation Accuracy : 0.75
Epoch : 470, Train Loss : 1.03, Train Accuracy : 0.68, Validation Loss : 0.80, Validation Accuracy : 0.75
Epoch : 471, Train Loss : 1.02, Train Accuracy : 0.68, Validation Loss : 0.81, Validation Accuracy : 0.75
Epoch : 472, Train Loss : 1.01, Train Accuracy : 0.68, Validation Loss : 0.81, Validation Accuracy : 0.75
Epoch : 473, Train Loss : 1.02, Train Accuracy : 0.68, Validation Loss : 0.80, Validation Accuracy : 0.75
Epoch : 474, Train Loss : 1.00, Train Accuracy : 0.68, Validation Loss : 0.82, Validation Accuracy : 0.75
Epoch : 475, Train Loss : 1.02, Train Accuracy : 0.68, Validation Loss : 0.79, Validation Accuracy : 0.76
Epoch : 476, Train Loss : 1.02, Train Accuracy : 0.67, Validation Loss : 0.79, Validation Accuracy : 0.76
Epoch : 477, Train Loss : 1.04, Train Accuracy : 0.67, Validation Loss : 0.81, Validation Accuracy : 0.75
Epoch : 478, Train Loss : 1.01, Train Accuracy : 0.68, Validation Loss : 0.81, Validation Accuracy : 0.75
Epoch : 479, Train Loss : 1.01, Train Accuracy : 0.68, Validation Loss : 0.89, Validation Accuracy : 0.73
Epoch : 480, Train Loss : 1.03, Train Accuracy : 0.67, Validation Loss : 0.81, Validation Accuracy : 0.75
Epoch : 481, Train Loss : 1.00, Train Accuracy : 0.69, Validation Loss : 0.79, Validation Accuracy : 0.76
Epoch : 482, Train Loss : 1.00, Train Accuracy : 0.68, Validation Loss : 0.79, Validation Accuracy : 0.76
Epoch : 483, Train Loss : 1.00, Train Accuracy : 0.69, Validation Loss : 0.78, Validation Accuracy : 0.76
Epoch : 484, Train Loss : 1.02, Train Accuracy : 0.68, Validation Loss : 0.81, Validation Accuracy : 0.76
Epoch : 485, Train Loss : 1.01, Train Accuracy : 0.68, Validation Loss : 0.81, Validation Accuracy : 0.75
Epoch : 486, Train Loss : 1.02, Train Accuracy : 0.68, Validation Loss : 0.80, Validation Accuracy : 0.75
Epoch : 487, Train Loss : 1.01, Train Accuracy : 0.68, Validation Loss : 0.80, Validation Accuracy : 0.75
Epoch : 488, Train Loss : 1.02, Train Accuracy : 0.68, Validation Loss : 0.81, Validation Accuracy : 0.76
Epoch : 489, Train Loss : 1.01, Train Accuracy : 0.68, Validation Loss : 0.82, Validation Accuracy : 0.75
Epoch : 490, Train Loss : 1.01, Train Accuracy : 0.68, Validation Loss : 0.88, Validation Accuracy : 0.73
Epoch : 491, Train Loss : 1.01, Train Accuracy : 0.68, Validation Loss : 0.79, Validation Accuracy : 0.76
Epoch : 492, Train Loss : 1.00, Train Accuracy : 0.69, Validation Loss : 0.78, Validation Accuracy : 0.76
Epoch : 493, Train Loss : 0.99, Train Accuracy : 0.69, Validation Loss : 0.79, Validation Accuracy : 0.76
Epoch : 494, Train Loss : 1.02, Train Accuracy : 0.68, Validation Loss : 0.81, Validation Accuracy : 0.76
Epoch : 495, Train Loss : 1.00, Train Accuracy : 0.69, Validation Loss : 0.80, Validation Accuracy : 0.75
Epoch : 496, Train Loss : 1.00, Train Accuracy : 0.68, Validation Loss : 0.79, Validation Accuracy : 0.76
Epoch : 497, Train Loss : 1.00, Train Accuracy : 0.68, Validation Loss : 0.78, Validation Accuracy : 0.76
Epoch : 498, Train Loss : 1.00, Train Accuracy : 0.68, Validation Loss : 0.86, Validation Accuracy : 0.74
Epoch : 499, Train Loss : 1.00, Train Accuracy : 0.68, Validation Loss : 0.78, Validation Accuracy : 0.76



















In [ ]:



    


fig, (ax1, ax2) = plt.subplots(1,2, figsize=(15,6))

fig.suptitle(f"model_nn_3_layers_simple : 500 Epochs, 3e-4 Adam", fontsize=16)
ax1.plot(history8['train_acc'], label='train accuracy')
ax1.plot(history8['valid_acc'], label='valid accuracy')
ax1.legend()


ax2.plot(history8['train_loss'], label='train loss')
ax2.plot(history8['valid_loss'], label='valid loss')
ax2.legend()

fig.show()



    















    




























Inference












In [ ]:



    


metadata.head()



    















    
Out[ ]:











  
    

      
      slice_file_name
      fsID
      start
      end
      salience
      fold
      classID
      class
    

  
  
    

      0
      100032-3-0-0.wav
      100032
      0.0
      0.317551
      1
      5
      3
      dog_bark
    

    

      1
      100263-2-0-117.wav
      100263
      58.5
      62.500000
      1
      5
      2
      children_playing
    

    

      2
      100263-2-0-121.wav
      100263
      60.5
      64.500000
      1
      5
      2
      children_playing
    

    

      3
      100263-2-0-126.wav
      100263
      63.0
      67.000000
      1
      5
      2
      children_playing
    

    

      4
      100263-2-0-137.wav
      100263
      68.5
      72.500000
      1
      5
      2
      children_playing
    

  






















In [ ]:



    


featuresdf.head()



    















    
Out[ ]:











  
    

      
      feature
      class_label
      class_category
      feature_len
    

  
  
    

      0
      [-215.7930019798, 71.6661218578, -131.81377106...
      dog_bark
      3
      40
    

    

      1
      [-424.686857174, 110.5622761497, -54.148235845...
      children_playing
      2
      40
    

    

      2
      [-459.5646628172, 122.8003486268, -47.92470751...
      children_playing
      2
      40
    

    

      3
      [-414.5537705356, 102.896905432, -36.664954497...
      children_playing
      2
      40
    

    

      4
      [-447.3969992817, 115.0953847764, -53.80910915...
      children_playing
      2
      40
    

  






















In [ ]:



    


meta_feature[['slice_file_name', 'feature', 'class_label', 'class_category']].head()



    















    
Out[ ]:











  
    

      
      slice_file_name
      feature
      class_label
      class_category
    

  
  
    

      0
      100032-3-0-0.wav
      [-215.7930019798, 71.6661218578, -131.81377106...
      dog_bark
      3
    

    

      1
      100263-2-0-117.wav
      [-424.686857174, 110.5622761497, -54.148235845...
      children_playing
      2
    

    

      2
      100263-2-0-121.wav
      [-459.5646628172, 122.8003486268, -47.92470751...
      children_playing
      2
    

    

      3
      100263-2-0-126.wav
      [-414.5537705356, 102.896905432, -36.664954497...
      children_playing
      2
    

    

      4
      100263-2-0-137.wav
      [-447.3969992817, 115.0953847764, -53.80910915...
      children_playing
      2
    

  






















In [ ]:



    


meta_feature = pd.concat([metadata, featuresdf], axis=1)



    















Finally using model_5_layers, check model comparison tab in the jovian.















Creating Noise to Index Mapping and Vice-Versa.













In [ ]:



    


noise_2_idx = dict(set(meta_feature[['class_label', 'class_category']].to_records(index=False).tolist()))
idx_2_noise = { idx : noise for noise,idx in noise_2_idx.items()}



    













In [ ]:



    


random_samples = meta_feature.sample(5)
msfcc_feature, labels = random_samples.feature.values.tolist(), random_samples.class_category.values.tolist() 



    













In [ ]:



    


msfcc_feature = torch.tensor(msfcc_feature)
labels = torch.tensor(labels)

print(msfcc_feature.shape, labels.shape)



    















    






torch.Size([5, 40]) torch.Size([5])



















In [ ]:



    


outputs = model_5_layers(msfcc_feature)

output_softmaxed = F.softmax(outputs, dim=1)
_, preds = torch.max(output_softmaxed, dim=1)

preds = preds.numpy().tolist()
preds_labels = [idx_2_noise[pred] for pred in preds]


labels = labels.numpy().tolist()
labels_names = [idx_2_noise[label] for label in labels]



    















Final Inferences












In [ ]:



    


audio_path = f"/content/UrbanSound8K/audio/fold{random_samples.iloc[0].values[5]}/" + random_samples.iloc[0].values[0]
data, sr = librosa.load(audio_path)

plt.figure(figsize=(15,6))
_ = librosa.display.waveplot(data)

plt.title(f"Original Sound : {labels_names[0]}, Predicted : {preds_labels[0]}", fontsize=16)
ipd.Audio(audio_path)



    















    
Out[ ]:







                
              









    


























In [ ]:



    


idx = 1
audio_path = f"/content/UrbanSound8K/audio/fold{random_samples.iloc[idx].values[5]}/" + random_samples.iloc[idx].values[0]
data, sr = librosa.load(audio_path)

plt.figure(figsize=(15,6))
_ = librosa.display.waveplot(data)

plt.title(f"Original Sound : {labels_names[idx]}, Predicted : {preds_labels[idx]}", fontsize=16)
ipd.Audio(audio_path)



    















    
Out[ ]:







                
              









    


























In [ ]:



    


idx = 2
audio_path = f"/content/UrbanSound8K/audio/fold{random_samples.iloc[idx].values[5]}/" + random_samples.iloc[idx].values[0]
data, sr = librosa.load(audio_path)

plt.figure(figsize=(15,6))
_ = librosa.display.waveplot(data)

plt.title(f"Original Sound : {labels_names[idx]}, Predicted : {preds_labels[idx]}", fontsize=16)
ipd.Audio(audio_path)



    















    
Out[ ]:







                
              









    


























In [ ]:



    


idx = 3
audio_path = f"/content/UrbanSound8K/audio/fold{random_samples.iloc[idx].values[5]}/" + random_samples.iloc[idx].values[0]
data, sr = librosa.load(audio_path)

plt.figure(figsize=(15,6))
_ = librosa.display.waveplot(data)

plt.title(f"Original Sound : {labels_names[idx]}, Predicted : {preds_labels[idx]}", fontsize=16)
ipd.Audio(audio_path)



    















    
Out[ ]:







                
              









    


























In [ ]:



    


idx = 4
audio_path = f"/content/UrbanSound8K/audio/fold{random_samples.iloc[idx].values[5]}/" + random_samples.iloc[idx].values[0]
data, sr = librosa.load(audio_path)

plt.figure(figsize=(15,6))
_ = librosa.display.waveplot(data)

plt.title(f"Original Sound : {labels_names[idx]}, Predicted : {preds_labels[idx]}", fontsize=16)
ipd.Audio(audio_path)



    















    
Out[ ]:







                
              









    




























Future Scope and Other Methods to Try:
    

  • MFCC is not the only feature that can be utilized in audio analysis, beside that you can try Volume, Energy, Pitch, Zero Crossing Rate, Spectral Centroid etc as additional features along with it.
    

    • 

  • Instead of extracting features via MFCC, feature reduction technique such as t-SNE or PCA can be used as well."
    

    • 














In [ ]: